Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp
Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp
Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp
Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp
About Zscaler Zscaler is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across more than 160 data centers globally, the Zscaler Zero Trust Exchange platform combined with advanced AI combats billions of
Staff Machine Learning Engineer (Modeling), Support
BlockSan Francisco, CA, United States of Americaonsite
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurt
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurt
Staff Machine Learning Engineer Job Category: Data and Tech Requisition Number: STAFF001275 Posting Details Posted: January 26, 2026 Full-Time Remote Locations Remote Remote, USA Job Details Description Job Summary: We are seeking a Staff Machine Learning Engineer to help establish and lead our Machine Learning Engineering function. This role will be instrumental in shaping the future of our ML and LLM capabilities, driving innovation across traditional ML pipelines, AI/LLM applications, and ensuring fairness, scalability, and cost-efficiency in our systems. You'll work directly with the Director of Data, AI, and ML and partner closely with engineering and product leadership to grow and mentor a team of Machine Learning Engineers. Your impact will shape both the technical direction of our ML systems and the culture of our growing team. Duties/Responsibilities: Architect and lead the development of scalable ML infrastructure for training, inference, and model lifecycle management. Design and implement systems for ML experiment tracking, model registry, and feature store integration. Establish frameworks for bias and fairness assessment across ML models and ensure compliance with internal and external standards. Develop infrastructure and tooling for real-time and batch model inference. Collaborate with data scientists, engineers, and product teams to translate business needs into new ML solutions. Support Software Engineering teams in their development of LLM products by establishing and managing shared LLM infrastructure for governance, observability, and cost management. Mentor and guide a team of ML engineers, fostering a culture of innovation, transparency, and technical excellence. Skills/Abilities/Experience: 7+ years of experience in Machine Learning Engineering or Applied ML, with 2+ years of leadership experience. Expertise in ML infrastructure, model lifecycle management, and experiment tracking tools (e.g., MLflow, Weights \& Biases). Hands-on experience with LLM development, including prompt tuning, RAG architectures, and vector databases (e.g., Qdrant, Pinecone). Strong understanding of bias and fairness metrics, and experience implementing auditing frameworks. Proficiency in big data tools and cloud platforms (e.g., AWS, GCP, Azure, Snowflake, Spark). Strong software engineering skills in Python and experience with containerization and orchestration (e.g., Docker, Kubernetes). Experience managing ML costs and optimizing cloud resource usage. Excellent communication and collaboration skills, with a track record of cross-functional leadership. Passion for building scalable, transparent, and impactful ML systems. The most important skills for this position is deep expertise in Fortran. Make sure to describe your Fortran experience. Preferred Experience: Experience in a startup environment Bachelor's Degree in Computer Science or similar degree Experience with boosted models like XGBoost Experience with LLM Voice agents * Familiarity with Healthcare data Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY SAFETY? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization's mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic accounts, content and behavior, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this toolbelt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. WHY ALT DEFENSE? Safety and Civility is Roblox's #1 priority. The Alt Defense pod is at the front lines of this mission, tasked with solving one of the most difficult adversarial problems on the platform: Alternate Account Detection and Prevention. When bad actors are removed from Roblox, they often attempt to return immediately with new identities. Our goal is to stop them in their tracks. As the Technical Lead for this pod, you will architect and build an industry-leading detection system that operates at a massive scale—processing billions of accounts and identifying recidivism within minutes. You will also be supporting additional use cases for alt detection across the company. You will report to the Senior Engineering Manager of the Account Identity Team. You will: Lead the technical vision for alternate account detection platform, moving from reactive measures to proactive, near real-time prevention. Architect high-scale ML systems using Graph Neural Networks (GNNs) and advanced clustering techniques to map relationships across billions of entities. Solve complex ground truth and training data challenges for adversarial usecases Build for latency and scale, ensuring that detection happens within minutes of a bad actor's attempt to rejoin the platform. Develop innovative adversarial approaches to stay ahead of sophisticated actors who use evolving techniques to mask their identity. Drive the ML roadmap, identifying opportunities to leverage big data and behavioral signals to improve precision and recall in a high-stakes environment. Mentor and up-level a pod of high-performing ML and software engineers, fostering a culture of technical excellence and rapid iteration. You have: MS or PhD degree in Computer Science, Machine Learning, or a related field. 10+ years of industry experience in Applied ML, with a significant focus on anti-abuse, fraud, integrity, or identity. Expertise in Graph Learning: Deep experience with Large-scale GNNs (GraphSAGE, PGB, etc.) and unsupervised/semi-supervised clustering at the scale of billions of nodes. Proven track record of leading complex technical projects from conception to production-level deployment. Experience with high-throughput systems: You understand the nuances of deploying ML models in low-latency environments where "time-to-detect" is a critical KPI. Adversarial mindset: You can think like a bad actor to anticipate how they will circumvent detection and build robust defenses against it. You are: Resourceful: You're adaptable in any situation and can always find a path forward in the face of evolving threats. Analytical: Excited to investigate large, ambiguous datasets to find the "signal in the noise" of billions of accounts. User Oriented: You understand that safety measures must be balanced with a seamless experience for our legitimate community members. Team Oriented: You are a sought-after mentor who lifts up your peers and builds a collaborative, high-performance environment. Mission Oriented: You are laser-focused on keeping Roblox safe and are willing to take bold, strategic risks to achieve a billion-user scale safely. Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
Graph Neural Networks (GNNs)advanced clustering techniquesmachine learningexperimentationclassifiers for 3D models+3 more
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy w
Referenz 668G Dein nächster Karriereschritt --------------------------------- Als Senior Machine Learning Engineer(m/w/d) wirst du Teil eines globalen Teams, das verteilte faseroptische Messlösungen entwickelt, die dazu beitragen, kritische Infrastrukturen zu optimieren, Menschen zu schützen und die Umwelt zu bewahren. Mit Glasfaserkabeln als kontinuierlichen Sensoren verbinden wir moderne Photonik, Messtechnik und Software, um zuverlässige Echtzeit-Einblicke entlang von Pipelines, Energiekabeln, Bahnstrecken und anderen Assets zu ermöglichen. In dieser Rolle trägst du maßgeblich zu weltweit eingesetzten Lösungen bei und arbeitest in einem kooperativen, interdisziplinären Umfeld, das technischen Anspruch, langfristige Qualität und pragmatische Innovation schätzt. Deine Verantwortung ----------------------- Du überführst Machine-Learning-Prototypen in robuste Produkte für die Echtzeitanalyse von Messdaten auf Edge-Geräten und in Backend-Systemen. Du übernimmst die fachliche Verantwortung für Design und Implementierung skalierbarer ML-Pipelines und Data-Processing-Komponenten zur Analyse großer Sensordatenmengen und treibst Engineering Best Practices im Team voran. Du baust und pflegst CI/CD-Workflows und automatisierte Tests für ML-Anwendungen und stellst Zuverlässigkeit und Reproduzierbarkeit sicher. Du arbeitest eng mit Data Scientists, Platform Engineers, Data Engineers und Domänenexperten zusammen, gestaltest die Systemarchitektur mit und sorgst dafür, dass ML-Lösungen sauber in die Gesamtproduktlandschaft integriert werden. Dein Profil --------------- Du hast ein technisches Studium in Informatik, Machine Learning oder einem verwandten Fachgebiet oder bringst eine vergleichbare praktische Erfahrung mit. Du verfügst über mindestens 5 Jahre Berufserfahrung in Software Engineering oder ML Engineering, einschließlich Erfahrung mit produktiven ML-Systemen oder anderen datenintensiven Anwendungen. Du besitzt exzellente Programmierkenntnisse in Python und schreibst strukturierten, wartbaren und effizienten Code. Du hast fortgeschrittene Programmierkenntnisse in mindestens einer statisch typisierten Sprache (z. B. C++, Rust, Go, Java). Du hast ein tiefes Verständnis des MLOps-Lifecycles, einschließlich Daten- und Modellversionierung, Deployment, Monitoring und kontinuierlicher Verbesserung. Du hast Erfahrung mit Containern (Docker) und CI/CD-Pipelines und wendest moderne Testpraktiken auf ML-getriebene Systeme an. Idealerweise hast du Erfahrung im Betrieb von ML-basierten Anwendungen in Produktion, einschließlich Monitoring der Modellqualität, Drift Detection und Incident Handling. Idealerweise hast du bereits mit Echtzeit- oder Near-Real-Time-Anwendungen, Streaming-Daten oder IoT-Szenarien gearbeitet und kennst die besonderen Herausforderungen von Edge-Deployments. Über uns ------------ Bei AP Sensing setzen wir eine Erfolgsgeschichte fort, die in der Garage von Bill Hewlett und Dave Packard begann. Als unabhängiges HP-Spin-off verbinden wir über 40 Jahre technologische Expertise mit echter Innovationsleidenschaft. Gemeinsam machen wir Infrastruktur smarter, schützen Menschen und tragen zur Sicherheit unseres Planeten bei. Unsere Leidenschaft gilt der faseroptischen Sensortechnologie – und bei ihrer Weiterentwicklung zählt jede Stimme. Wir schätzen neue Ideen, fördern persönliches Wachstum und geben Raum für echte Mitgestaltung. Werde Teil unseres Teams und gestalte mit uns die Zukunft – thinking ahead. Unser Angebot ----------------- Spannende Aufgaben: Abwechslungsreiche und verantwortungsvolle Tätigkeiten mit modernster Technologie. Offene Unternehmenskultur: Ein Arbeitsumfeld, das auf Vertrauen, Respekt und den Werten des „HP Way“ basiert. Motivierendes Umfeld: Ein freundliches, internationales Team mit starkem Zusammenhalt. Attraktive Vergütung: Wettbewerbsfähiges Gehalt, Zusatzleistungen und flexible Arbeitszeiten. Weiterentwicklung \& Karriere: Individuelle Entwicklungsmöglichkeiten und ein attraktives Erfolgsbeteiligungsprogramm. Entdecke unsere Benefits ---------------------------- ### Finanzielle Benefits Erfolgsbezogene Boni: Zwei Mal im Jahr Bonuszahlungen, abhängig vom Unternehmenserfolg Gehaltsentwicklung: Jährliche Gehaltserhöhungen sowie Urlaubs- und Weihnachtsgeld AP Sensing Card: Monatlich 50 € Guthaben zur freien Verwendung Jobsicherheit: Unbefristete Arbeitsverträge mit umfassender Absicherung Betriebliche Altersvorsorge: Wir unterstützen dich beim Aufbau deiner Betriebsrente ### Flexibilität Flexible Arbeitszeiten: Gestalte deinen Arbeitstag mit flexiblen Arbeitszeiten und Homeoffice-Möglichkeiten Firmenlaptop: Alle Mitarbeitenden erhalten einen Laptop für unkompliziertes mobiles Arbeiten ### Gesundheit \& Wohlbefinden Verpflegung: Zuschuss zu Mahlzeiten in unserer Kantine sowie Snacks am Kiosk Küche: Voll ausgestattete Küche mit Hightech-Kaffeemaschine, kostenlosen Getränken und frischem Obst Sportangebote: Wöchentliche Laufgruppe oder individuelles Training mit unserem Fitnesscoach. Duschen stehen bereit für alle, die mit dem Rad zur Arbeit kommen oder in der Mittagspause joggen gehen Job-Bike – Bleib aktiv mit unserem Job-Bike-Programm Modernes Büro – Helle, klimatisierte Räume, kreative Arbeitsbereiche und höhenverstellbare Schreibtische für ergonomisches Arbeiten ### Gemeinschaft \& Kultur Teamgeist: Flache Hierarchien und eine wertschätzende Arbeitsatmosphäre in einem internationalen, interkulturellen Team Teamevents: Regelmäßige Firmen- und Teamveranstaltungen für mehr Austausch und engere Zusammenarbeit Karrierechancen: Durch unser kontinuierliches Wachstum eröffnen sich viele Entwicklungsmöglichkeiten Weiterbildung: Wir investieren in deine Zukunft mit Schulungen und individuellen Weiterbildungsmöglichkeiten ### Anbindung \& Extras Gute Erreichbarkeit: Nur 2 Minuten zur S-Bahn, nah an der Autobahn und kostenlose Parkplätze direkt vor dem Gebäude * Corporate Benefits Programm: Exklusive Vergünstigungen für Mitarbeitende Are you ready to play a big role in a small team, instead of a small role in a big team? -------------------------------------------------------------------------------------------- Dann bist du bei uns genau richtig Noch Fragen? Ruf Ingrid Licht unter +49 7031 309 6619 an oder schreib uns an hr@apsensing.com – wir helfen Dir gerne weiter. Bereit für Deine Bewerbung? Dann schick sie direkt an hr@apsensing.com.
AppIQ Tech is seeking a meticulous and strategic QA Engineer / Sr. QA Engineer to ensure the quality and reliability of our Machine-Learning-driven e-commerce funnel optimisation and digital advertising platform. You will be responsible for defining the testing strategy for high-performance applications that leverage our proprietary Predictive AI solutions. As a key member of our fast-paced startup, you will balance the need for rapid feature deployment with the necessity of thorough testing. You will be responsible for identifying and prioritising the highest-risk bugs to ensure our scalable services, which manage millions of daily events, remain robust and accurate. QA Architecture \& Strategy: Develop and maintain a comprehensive QA architecture that supports full-stack applications and complex microservices. Risk Management: Prioritise bug fixes based on risk of failure and potential impact, while striking a productive balance between speed-to-market and exhaustive testing. Test Management: Utilise test case management (TCM) systems such as TestRail, Zephyr, Xray, PractiTest, qTest, or similar to organise test cases, track execution, and provide transparent reporting on quality metrics. Automated Testing: Design, implement, and scale automated test suites using tools such as Playwright, Cypress, and Appium. Testing \& Validation: Perform rigorous unit tests and integration tests on applications built with TypeScript, React, Node.js, Python, and PySpark. Infrastructure Testing: Verify the reliability of deployments across AWS (EC2, S3, Firehose) and Cloudflare edge environments. Data Integrity: Collaborate with Data Engineers to validate the accuracy of complex event data and real-time reporting dashboards. Cross-Functional Collaboration: Act as a great team player with excellent communication skills, working closely with developers and data scientists to ensure a seamless end-user experience. Requirements 4+ years of professional experience in software quality assurance or engineering, with a strong focus on scalable web applications (7+years for Sr. QA Engineer). Strong grasp of QA architecture and modern testing methodologies. Deep expertise in the tech stack used by our engineers, specifically TypeScript, React, Node.js, Python, and PySpark. Cloud \& Database Proficiency: Familiarity with AWS services and both SQL and NoSQL (e.g., MongoDB) databases to effectively test data persistence and performance. Global Collaboration: Ability to work effectively with globally distributed teams. Native or Business-level proficiency in written and spoken English Strong plus if you also have: AI/ML Literacy: Understanding of Machine Learning (Supervised/Reinforcement Learning), Predictive AI, and the validation of Data Pipelines. Proficiency in Python or experience with PySpark. Prior experience in the e-commerce or Ad Tech ecosystem (DSPs, Audience Data, Fraud detection). Benefits The opportunity to shape the QA culture and architecture from the ground up. An attractive career path on either a management or an individual contributor track. Genuine learning, training and development opportunities, supported by regular performance reviews Competitive compensation and generous paid time off. Work-from-anywhere flexibility * Opportunities to develop expertise in building cutting-edge predictive AI applications.
About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. ### Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI. Type: Full-time, Remote### Role Overview We’re hiring a mid-to-senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You’ll work across the ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—often in partnership with client stakeholders and internal delivery teams. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of turning modeling work into production-ready systems. ### Key Responsibilities Problem Framing \& Stakeholder Partnership + Translate business questions into ML problem statements (classification, regression, time series forecasting, clustering, anomaly detection, recommendation, etc.). + Collaborate with stakeholders to define success metrics, evaluation plans, and practical constraints (latency, interpretability, cost, data availability). Data Analysis \& Feature Engineering + Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. + Perform data profiling, missingness analysis, leakage checks, and exploratory analysis to guide modeling choices. + Build robust feature pipelines (aggregation, encoding, scaling, embeddings where appropriate) and document assumptions. Model Development (Core ML) + Train and tune supervised learning models for tabular data (e.g., logistic/linear models, tree-based methods, gradient boosting such as XGBoost/LightGBM/CatBoost, and neural nets for structured data). + Apply strong tabular modeling practices: handling missing data, categorical encoding, leakage prevention, class imbalance strategies, calibration, and robust cross-validation. + Build time series models (statistical and ML/DL approaches) and validate with proper backtesting. + Apply clustering and segmentation techniques (k-means, hierarchical, DBSCAN, Gaussian mixtures) and evaluate stability and usefulness. + Apply statistics in practice (hypothesis testing, confidence intervals, sampling, experiment design) to support inference and decision-making. Deep Learning + Build and train deep learning models using PyTorch or TensorFlow/Keras. + Use best practices for training (regularization, calibration, class imbalance handling, reproducibility, sound train/val/test design). Evaluation, Explainability, and Iteration + Choose appropriate metrics (AUC/F1/PR, RMSE/MAE/MAPE, calibration, lift, and business KPIs) and create evaluation reports. + Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence. Productionization \& MLOps (Project-Dependent) + Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on integration. + Implement practical MLOps: versioning, reproducible training, automated evaluation, monitoring for drift/performance, and retraining plans. Documentation \& Communication + Communicate tradeoffs and recommendations clearly to technical and non-technical stakeholders. + Create documentation and lightweight demos that make results actionable. ### Success in This Role Looks Like You deliver models that perform well and move business metrics (revenue lift, cost reduction, risk reduction, improved forecast accuracy, operational efficiency). Your work is reproducible and production-aware: clear data lineage, robust evaluation, and a credible path to deployment/monitoring. Stakeholders trust your judgment in selecting methods and communicating uncertainty honestly. ### Required Qualifications 3–8 years of experience in data science, machine learning engineering, or applied ML (mid-to-senior). Strong Python skills for data analysis and modeling (pandas/numpy/scikit-learn or equivalent). Strong SQL skills (joins, window functions, aggregation, performance awareness). Solid foundation in statistics (hypothesis testing, uncertainty, bias/variance, sampling) and practical experimentation mindset. Hands-on experience across multiple model types, including: + Classification \& regression + Time series forecasting + Clustering/segmentation Experience with deep learning in PyTorch or TensorFlow/Keras. Strong problem-solving skills: ability to work with ambiguous goals and messy data. Clear communication skills and ability to translate analysis into decisions. ### Preferred Qualifications Experience with Databricks for applied ML (e.g., Spark, Delta Lake, MLflow, Databricks Jobs/Workflows). Experience deploying models to production (APIs, batch pipelines) and maintaining them over time (monitoring, retraining). Experience with orchestration tools (Airflow, Prefect, Dagster) and modern data stacks (Snowflake/BigQuery/Redshift/Databricks). Experience with cloud platforms (AWS/GCP/Azure/IBM) and containerization (Docker). Experience with responsible AI and governance best practices (privacy/PII handling, auditability, access controls). Consulting or client-facing delivery experience. Certifications (Strong Plus) Candidates with at least one relevant certification are especially encouraged to apply: Cloud certifications: AWS, Google Cloud, Microsoft Azure, or IBM (data/AI/ML tracks) Databricks certifications (Data Scientist, Data Engineer, or related) ### Nice-to-Have Causal inference experience (e.g., quasi-experimental methods, propensity scores, uplift/heterogeneous treatment effects, experimentation beyond A/B tests). Agentic development experience: designing and evaluating agentic workflows (tool use, planning, memory/state, guardrails) and integrating them into products. Deep familiarity with agentic coding tools and workflows for accelerated product development (e.g., AI-assisted IDEs, code agents, automated testing/refactoring, repo-aware assistants), including strong judgment on quality, security, and maintainability. Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws. Important: Immigration Sponsorship Policy Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including: Direct Company Sponsorship: Such as H-1B, J-1, or TN visas. Employer of Record: Listing Fusemachines as the immigration employer on any government documentation. Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT). qUN1H2divA
AppIQ Tech is seeking a meticulous and strategic QA Engineer / Sr. QA Engineer to ensure the quality and reliability of our Machine-Learning-driven e-commerce funnel optimisation and digital advertising platform. You will be responsible for defining the testing strategy for high-performance applications that leverage our proprietary Predictive AI solutions. As a key member of our fast-paced startup, you will balance the need for rapid feature deployment with the necessity of thorough testing. You will be responsible for identifying and prioritising the highest-risk bugs to ensure our scalable services, which manage millions of daily events, remain robust and accurate. QA Architecture \& Strategy: Develop and maintain a comprehensive QA architecture that supports full-stack applications and complex microservices. Risk Management: Prioritise bug fixes based on risk of failure and potential impact, while striking a productive balance between speed-to-market and exhaustive testing. Test Management: Utilise test case management (TCM) systems such as TestRail, Zephyr, Xray, PractiTest, qTest, or similar to organise test cases, track execution, and provide transparent reporting on quality metrics. Automated Testing: Design, implement, and scale automated test suites using tools such as Playwright, Cypress, and Appium. Testing \& Validation: Perform rigorous unit tests and integration tests on applications built with TypeScript, React, Node.js, Python, and PySpark. Infrastructure Testing: Verify the reliability of deployments across AWS (EC2, S3, Firehose) and Cloudflare edge environments. Data Integrity: Collaborate with Data Engineers to validate the accuracy of complex event data and real-time reporting dashboards. Cross-Functional Collaboration: Act as a great team player with excellent communication skills, working closely with developers and data scientists to ensure a seamless end-user experience. Requirements 4+ years of professional experience in software quality assurance or engineering, with a strong focus on scalable web applications (7+years for Sr. QA Engineer). Strong grasp of QA architecture and modern testing methodologies. Deep expertise in the tech stack used by our engineers, specifically TypeScript, React, Node.js, Python, and PySpark. Cloud \& Database Proficiency: Familiarity with AWS services and both SQL and NoSQL (e.g., MongoDB) databases to effectively test data persistence and performance. Global Collaboration: Ability to work effectively with globally distributed teams. Native or Business-level proficiency in written and spoken English Strong plus if you also have: AI/ML Literacy: Understanding of Machine Learning (Supervised/Reinforcement Learning), Predictive AI, and the validation of Data Pipelines. Proficiency in Python or experience with PySpark. Prior experience in the e-commerce or Ad Tech ecosystem (DSPs, Audience Data, Fraud detection). Benefits The opportunity to shape the QA culture and architecture from the ground up. An attractive career path on either a management or an individual contributor track. Genuine learning, training and development opportunities, supported by regular performance reviews Competitive compensation and generous paid time off. Work-from-anywhere flexibility * Opportunities to develop expertise in building cutting-edge predictive AI applications.
AppIQ Tech is seeking a meticulous and strategic QA Engineer / Sr. QA Engineer to ensure the quality and reliability of our Machine-Learning-driven e-commerce funnel optimisation and digital advertising platform. You will be responsible for defining the testing strategy for high-performance applications that leverage our proprietary Predictive AI solutions. As a key member of our fast-paced startup, you will balance the need for rapid feature deployment with the necessity of thorough testing. You will be responsible for identifying and prioritising the highest-risk bugs to ensure our scalable services, which manage millions of daily events, remain robust and accurate. QA Architecture \& Strategy: Develop and maintain a comprehensive QA architecture that supports full-stack applications and complex microservices. Risk Management: Prioritise bug fixes based on risk of failure and potential impact, while striking a productive balance between speed-to-market and exhaustive testing. Test Management: Utilise test case management (TCM) systems such as TestRail, Zephyr, Xray, PractiTest, qTest, or similar to organise test cases, track execution, and provide transparent reporting on quality metrics. Automated Testing: Design, implement, and scale automated test suites using tools such as Playwright, Cypress, and Appium. Testing \& Validation: Perform rigorous unit tests and integration tests on applications built with TypeScript, React, Node.js, Python, and PySpark. Infrastructure Testing: Verify the reliability of deployments across AWS (EC2, S3, Firehose) and Cloudflare edge environments. Data Integrity: Collaborate with Data Engineers to validate the accuracy of complex event data and real-time reporting dashboards. Cross-Functional Collaboration: Act as a great team player with excellent communication skills, working closely with developers and data scientists to ensure a seamless end-user experience. Requirements 4+ years of professional experience in software quality assurance or engineering, with a strong focus on scalable web applications (7+years for Sr. QA Engineer). Strong grasp of QA architecture and modern testing methodologies. Deep expertise in the tech stack used by our engineers, specifically TypeScript, React, Node.js, Python, and PySpark. Cloud \& Database Proficiency: Familiarity with AWS services and both SQL and NoSQL (e.g., MongoDB) databases to effectively test data persistence and performance. Global Collaboration: Ability to work effectively with globally distributed teams. Native or Business-level proficiency in written and spoken English Strong plus if you also have: AI/ML Literacy: Understanding of Machine Learning (Supervised/Reinforcement Learning), Predictive AI, and the validation of Data Pipelines. Proficiency in Python or experience with PySpark. Prior experience in the e-commerce or Ad Tech ecosystem (DSPs, Audience Data, Fraud detection). Benefits The opportunity to shape the QA culture and architecture from the ground up. An attractive career path on either a management or an individual contributor track. Genuine learning, training and development opportunities, supported by regular performance reviews Competitive compensation and generous paid time off. Work-from-anywhere flexibility * Opportunities to develop expertise in building cutting-edge predictive AI applications.
Senior Machine Learning Engineer (LLM \& Client-Facing) Work Mode: Hybrid Location: London What You’ll Do: Design \& Architect AI Solutions: Architect and implement advanced LLM systems (RAG, fine-tuning, agents, copilots) from concept to production. Design end-to-end AI pipelines encompassing data processing, model evaluation, deployment, and monitoring. Select and optimize the use of commercial and open-source LLMs (e.g., GPT, Claude, LLaMA) for performance, cost, and security. Build scalable, secure, and cost-efficient cloud-based AI architectures. Lead Client Delivery \& Advisory: Act as the primary technical point of contact for enterprise clients, translating business needs into technical requirements and solutions. Lead workshops, solution walkthroughs, and presentations for both technical and executive audiences. Own project delivery timelines, manage risks, and ensure projects are delivered on time and within scope. Drive Team Leadership \& Growth: Mentor and coach junior and mid-level data scientists and ML engineers. Contribute to hiring, onboarding, and the establishment of technical standards and best practices. Lead and scale a high-performing AI delivery team, fostering a culture of excellence. Establish robust practices for code quality, documentation, model governance, and MLOps. What We’re Looking For: Must-Have Qualifications: 6+ years of professional experience in data science, machine learning, or AI engineering. Proven, hands-on experience building and deploying LLM applications (RAG, agents, fine-tuning) in production environments. Expertise in Python and deep learning frameworks (PyTorch or TensorFlow). Deep technical knowledge of prompt engineering, retrieval-augmented generation (RAG) architectures, fine-tuning, and inference optimization. Solid experience deploying and monitoring models in production on a major cloud platform (AWS, Azure, or GCP). Proven client-facing, consulting, or stakeholder management experience with excellent communication and presentation skills. Nice-to-Have Qualifications: Experience directly mentoring or leading technical teams. Strong MLOps skills (CI/CD, containerization, model monitoring) using tools like MLflow, Weights \& Biases, etc. Experience working in regulated industries (finance, healthcare, enterprise SaaS). Knowledge of AI governance, responsible AI, data privacy, and security standards. Experience scoping projects, estimating timelines, and writing technical proposals. What Success Looks Like in Your First Year: Successfully deliver multiple end-to-end LLM projects for key clients, achieving defined success metrics. Become the go-to trusted AI advisor for a portfolio of clients and internally for company leadership. Design and socialize reusable frameworks, patterns, and best practices that elevate our team's efficiency and quality. Take on clear leadership responsibilities for a growing team, contributing directly to their development and the team's productivity gains. Job Types: Full-time, Permanent Pay: £70,000.00-£100,000.00 per year Application question(s): What are your total annual compensation expectations for this role, in British Pounds (GBP)? Please provide a base salary range. This is a Hybrid role and requires significant collaboration with teams based in North American time zones. Are you able and willing to work this schedule consistently? If successful, what would be your earliest possible start date? Please include your current notice period. Do you currently have the right to work in the UK without requiring visa sponsorship? Work Location: Hybrid remote in London
AppIQ Tech is seeking a meticulous and strategic QA Engineer / Sr. QA Engineer to ensure the quality and reliability of our Machine-Learning-driven e-commerce funnel optimisation and digital advertising platform. You will be responsible for defining the testing strategy for high-performance applications that leverage our proprietary Predictive AI solutions. As a key member of our fast-paced startup, you will balance the need for rapid feature deployment with the necessity of thorough testing. You will be responsible for identifying and prioritising the highest-risk bugs to ensure our scalable services, which manage millions of daily events, remain robust and accurate. QA Architecture \& Strategy: Develop and maintain a comprehensive QA architecture that supports full-stack applications and complex microservices. Risk Management: Prioritise bug fixes based on risk of failure and potential impact, while striking a productive balance between speed-to-market and exhaustive testing. Test Management: Utilise test case management (TCM) systems such as TestRail, Zephyr, Xray, PractiTest, qTest, or similar to organise test cases, track execution, and provide transparent reporting on quality metrics. Automated Testing: Design, implement, and scale automated test suites using tools such as Playwright, Cypress, and Appium. Testing \& Validation: Perform rigorous unit tests and integration tests on applications built with TypeScript, React, Node.js, Python, and PySpark. Infrastructure Testing: Verify the reliability of deployments across AWS (EC2, S3, Firehose) and Cloudflare edge environments. Data Integrity: Collaborate with Data Engineers to validate the accuracy of complex event data and real-time reporting dashboards. Cross-Functional Collaboration: Act as a great team player with excellent communication skills, working closely with developers and data scientists to ensure a seamless end-user experience. Requirements 4+ years of professional experience in software quality assurance or engineering, with a strong focus on scalable web applications (7+years for Sr. QA Engineer). Strong grasp of QA architecture and modern testing methodologies. Deep expertise in the tech stack used by our engineers, specifically TypeScript, React, Node.js, Python, and PySpark. Cloud \& Database Proficiency: Familiarity with AWS services and both SQL and NoSQL (e.g., MongoDB) databases to effectively test data persistence and performance. Global Collaboration: Ability to work effectively with globally distributed teams. Native or Business-level proficiency in written and spoken English Strong plus if you also have: AI/ML Literacy: Understanding of Machine Learning (Supervised/Reinforcement Learning), Predictive AI, and the validation of Data Pipelines. Proficiency in Python or experience with PySpark. Prior experience in the e-commerce or Ad Tech ecosystem (DSPs, Audience Data, Fraud detection). Benefits The opportunity to shape the QA culture and architecture from the ground up. An attractive career path on either a management or an individual contributor track. Genuine learning, training and development opportunities, supported by regular performance reviews Competitive compensation and generous paid time off. Work-from-anywhere flexibility * Opportunities to develop expertise in building cutting-edge predictive AI applications.
Join us on our mission to make a better world of work. Culture Amp is the world’s leading employee experience platform, revolutionizing how 25 million employees across more than 6,500 companies create a better world of work. Culture Amp empowers companies of all sizes and industries to transform employee engagement, drive performance management, and develop high-performing teams. Powered by people science and the most comprehensive employee dataset in the world, the most innovative companies including Canva, On, Asana, Dolby, McDonalds and Nasdaq depend on Culture Amp every day. Culture Amp is backed by leading venture capital funds and has offices in the US, UK, Germany and Australia. Culture Amp has been recognized as one of the world’s top private cloud companies by Forbes and most innovative companies by Fast Company. For more information visit cultureamp.com. How you can help make a better world of work We're building the platform that makes AI possible across Culture Amp. This is a Staff-level role in our AI Platform team, responsible for the infrastructure, governance, and tooling that enables product teams to ship AI-powered features safely and at scale. What you'll do You'll own the systems that sit between our product teams and the AI capabilities they need: LLM gateways, vector storage, retrieval infrastructure, and the guardrails that keep it all compliant and cost-effective. This means: Designing and operating the platform services that power AI features across Culture Amp, including inference pipelines, embedding storage, and retrieval systems Building a scalable approach to vector search across diverse categories of unstructured data (survey responses, performance feedback, company documents) Driving MLOps and LLMOps practices across the organisation, including observability, cost management, and reliability Ensuring AI is used responsibly: implementing guardrails, security controls, and data compliance measures Partnering with data scientists on the team to productionise models and evaluate new AI capabilities What makes this interesting AI is central to Culture Amp's product roadmap. Coach, our AI assistant, is changing how we empower managers and leaders to build better workplaces, and this platform is what makes that possible. You'll be solving genuine scale problems: semantic search across millions of survey responses, retrieval that works across different data types, and governance that keeps pace with how quickly AI capabilities are evolving. We're looking for someone who leads from the front. Not just executing well, but identifying opportunities for leverage, driving architectural direction, and building excitement across the team and with partner teams. You'll shape how AI infrastructure evolves at Culture Amp. You have Strong platform engineering fundamentals, with experience building and operating services that other teams depend on Expertise in Python and experience with ML tooling and infrastructure Deep experience with large-scale data systems (streaming, batch processing, data lakes) Proven experience with ML infrastructure: model serving, vector databases, embedding pipelines Strong understanding of cloud platforms (AWS preferred) and backend architecture Experience building and optimising RAG and retrieval systems The communication skills to work across teams and influence technical direction beyond your own team You Are Self-motivated and able to work independently, comfortable dealing with ambiguity when necessary. You take the initiative to ensure that you have everything you need to work effectively and ask for support when required. A driver of technical excellence in a team environment. You’re an expert in your domain and are able to develop the expertise and knowledge of those around you. Someone who loves collaboration - our teams are cross functional and you’ll be working with other engineers, team leads and product managers to deliver great outcomes together. Aligned with our values, check them out here: https://www.cultureamp.com/company#values and demonstrate them through your working practice. We believe that our employees are the heartbeat of our success. We're committed to fostering a work environment that truly cares for and develops its people, and creates lasting positive impact. In addition to providing a competitive compensation package, some of the key benefits we offer are: Employee Share Options Program: We empower you to be an owner in Culture Amp and share in our success Programs, coaching, and budgets to help you thrive personally and professionally Access to external providers for mental wellbeing and coaching support to sustain the wellbeing, safety and development of our people Monthly Camper Life Allowance: An automatic allowance paid out each month with your pay - you can spend it however you like to help improve your experience and life outside work Team budgets dedicated to team building activities and connection Intentional quarterly wellbeing pauses: A quarterly company-wide shutdown day in each region to to collectively pause, reset and focus on restoration and rest, without having to tap into individual vacation time Extended year-end breaks: An extended refresh period at the end of year Excellent parental leave and in work support program available from day 1 of joining Culture Amp 5 Social Impact Days a year to make a positive impact on the community outside of work MacBooks for you to do your best \& a work from home office budget to spend on setting up your home office Medical insurance coverage for you and your family (Available for US \& UK only) Additionally, we don't just focus on our internal community; we believe in creating a better world of work for all. We're committed to diversity, equity, and inclusion, with Employee Resource Groups and ally communities in place. We have a strong commitment to Anti-Racism, and endeavor to lead by example. Every step we make as a business towards anti-racism is another step we can take to support our customers in making a better world (of work). You can see our current commitments to Anti-Racism here. Please keep reading... Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria – unlike majority candidates meeting significantly fewer requirements. We strongly encourage you to apply if you’re interested: we'd love to know how you can amplify our team with your unique experience! If you decide to apply, as part of your application, we will ask you to complete voluntary diversity questions (excluding roles in Germany). These questions are completely optional, but your participation truly helps. By sharing this anonymous information, you support our efforts to build a more inclusive and equitable hiring process—and help us hold ourselves accountable to that commitment. Your responses are entirely confidential and will not impact hiring decisions. If you require reasonable accommodations or adjustments due to a disability to complete the online application or to participate in the interview process, please contact accommodations@cultureamp.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Culture Amp will retain your CV \& personal information for a period of two years (four years for the US) from the date of your application process completion. Culture Amp may contact you in relation to future job opportunities during this time period. For further information please see our privacy policy here or contact privacy@cultureamp.com.*
Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp
SpotifyNew York, NY (Remote within EST time zone)remote
$176,166 - $251,666/yr
Machine Learning Engineering Manager, Personalization New York, NY Engineering – Personalization / Permanent / Remote The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Discover Weekly to AI DJ, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music, podcasts, and listeners better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. The Next Generation Sessions (NextGen) product area within Personalization is evolving listening beyond playlists, inventing new personalized listening (and watching!) sessions such as AI DJ, AI Playlist, Blend, Podcast Discovery Feed, and Music Discovery Feed. NextGen is a team of about 100 engineers, scientists, product managers, and music and voice domain experts working remotely and in offices in New York, Boston, London, and Stockholm. This ML Engineering Manager role wi
Leading delivery of consume...Experienced with generative...machine learningstatistics and optimizationsequential models+14 more
We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy wit
Who we are Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics,
About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahea
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device.We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY SAFETY? At Roblox, we strive to connect a billion people with optimism and civility, and the Safety organization's mission is to become the leader in civil immersive online communities. We systematically detect, remove, and prevent problematic accounts, content and behavior, and we make Roblox accounts secure and free from compromise. We cover a broad area of the tech spectrum, including machine learning, classifiers for 3D models, experimentation, automation, detection workflows, and AI-powered text filters. Aligned and partnering with product teams, we use this toolbelt to discover new opportunities, influence and shape the product roadmap and prioritization, build safety products, and measure the impact on our community of users and developers. In doing so, we keep Roblox safe, civil, and inclusive, and we foster positive relationships between people around the world. WHY ALT DEFENSE? Safety and Civility is Roblox's #1 priority. The Alt Defense pod is at the front lines of this mission, tasked with solving one of the most difficult adversarial problems on the platform: Alternate Account Detection and Prevention. When bad actors are removed from Roblox, they often attempt to return immediately with new identities. Our goal is to stop them in their tracks. As the Technical Lead for this pod, you will architect and build an industry-leading detection system that operates at a massive scale—processing billions of accounts and identifying recidivism within minutes. You will also be supporting additional use cases for alt detection across the company. You will report to the Senior Engineering Manager of the Account Identity Team. You will: Lead the technical vision for alternate account detection platform, moving from reactive measures to proactive, near real-time prevention. Architect high-scale ML systems using Graph Neural Networks (GNNs) and advanced clustering techniques to map relationships across billions of entities. Solve complex ground truth and training data challenges for adversarial usecases Build for latency and scale, ensuring that detection happens within minutes of a bad actor's attempt to rejoin the platform. Develop innovative adversarial approaches to stay ahead of sophisticated actors who use evolving techniques to mask their identity. Drive the ML roadmap, identifying opportunities to leverage big data and behavioral signals to improve precision and recall in a high-stakes environment. Mentor and up-level a pod of high-performing ML and software engineers, fostering a culture of technical excellence and rapid iteration. You have: MS or PhD degree in Computer Science, Machine Learning, or a related field. 10+ years of industry experience in Applied ML, with a significant focus on anti-abuse, fraud, integrity, or identity. Expertise in Graph Learning: Deep experience with Large-scale GNNs (GraphSAGE, PGB, etc.) and unsupervised/semi-supervised clustering at the scale of billions of nodes. Proven track record of leading complex technical projects from conception to production-level deployment. Experience with high-throughput systems: You understand the nuances of deploying ML models in low-latency environments where "time-to-detect" is a critical KPI. Adversarial mindset: You can think like a bad actor to anticipate how they will circumvent detection and build robust defenses against it. You are: Resourceful: You're adaptable in any situation and can always find a path forward in the face of evolving threats. Analytical: Excited to investigate large, ambiguous datasets to find the "signal in the noise" of billions of accounts. User Oriented: You understand that safety measures must be balanced with a seamless experience for our legitimate community members. Team Oriented: You are a sought-after mentor who lifts up your peers and builds a collaborative, high-performance environment. Mission Oriented: You are laser-focused on keeping Roblox safe and are willing to take bold, strategic risks to achieve a billion-user scale safely. Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
Graph Neural Networks (GNNs)advanced clustering techniquesmachine learningexperimentationclassifiers for 3D models+3 more
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurt
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy w
About Zscaler Zscaler is a pioneer and global leader in zero trust security. The world’s largest businesses, critical infrastructure organizations, and government agencies rely on Zscaler to secure users, branches, applications, data & devices, and to accelerate digital transformation initiatives. Distributed across more than 160 data centers globally, the Zscaler Zero Trust Exchange platform combined with advanced AI combats billions of
DESCRIPTION --------------- The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Research Engineer with a strong hands-on machine learning background, to lead the development of industry-leading multimodal large-language foundational models (LLMs). As a Senior RE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI). You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre and post-training workflows and build efficient models. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure. The ideal candidate is clearly passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast. Key job responsibilities Responsible for pre and post-training multimodal LLMs. Scale training of models on hyper large GPU and AWS Trainium clusters Optimize training workflows using distributed training/parallelism techniques Optimize low-level details of the training stack, including CUDA kernels, communication collectives, network I/O. Utilize, build and extend upon industry leading frameworks (NeMo, Megatron Core, PyTorch, Jax, vLLM, TRT, etc) Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility Deliver results independently in a self organizing Agile environment while constantly embracing and adapting new scientific advances About the team The AGI Foundations team is responsible for building industry leading Generative AI Foundational Models.BASIC QUALIFICATIONS ------------------------ 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS ---------------------------- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Master's degree in machine learning or equivalent Hands-on experience and expertise in training Foundational Models/LLMs, and/or low-level optimization of ML training workflows, CUDA kernels, network I/O. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life \& AD\&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually USA, MA, Boston - 168,100.00 - 227,400.00 USD annually USA, NY, New York - 184,900.00 - 250,200.00 USD annually USA, WA, Bellevue - 168,100.00 - 227,400.00 USD annually
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurt
Staff Applied AI and Machine Learning Engineer, Payments & Risk
GustoDenver, CO;San Francisco, CA;New York, NY;Los Angeles, CA;Seattle, WA;Toronto, Ontario, CAN - Remoteremote
CA$225,000 - CA$285,000/yr
About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that repr
What we’re building and why we’re building it. Every month, millions of people use Fetch earning rewards for buying brands they love, and a whole lot more. Whether shopping in the grocery aisle, grabbing a bite at the drive-through or playing a favorite mobile game, Fetch empowers consumers to live rewarded throughout their day. To date, we’ve delivered more than $1 billion in rewards and earned more than 5 million five-star reviews fro
AnthropicNew York City, NY; San Francisco, CA; Seattle, WA
$500,000 - $850,000/yr
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role We are looking for a Machine Learning Engineer to help us train Claude
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial s
DESCRIPTION --------------- The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Research Engineer with a strong hands-on machine learning background, to lead the development of industry-leading multimodal large-language foundational models (LLMs). As a Senior RE with the AGI team, you will be responsible for leading the development of novel algorithms and modeling techniques to advance the state of the art. Your work will directly impact our customers and will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI). You will have significant influence on our overall strategy by working at the intersection of engineering and applied science to scale pre and post-training workflows and build efficient models. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure. The ideal candidate is clearly passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment where priorities shift fast. Key job responsibilities Responsible for pre and post-training multimodal LLMs. Scale training of models on hyper large GPU and AWS Trainium clusters Optimize training workflows using distributed training/parallelism techniques Optimize low-level details of the training stack, including CUDA kernels, communication collectives, network I/O. Utilize, build and extend upon industry leading frameworks (NeMo, Megatron Core, PyTorch, Jax, vLLM, TRT, etc) Work with other team members to investigate design approaches, prototype new technology, scientific techniques and evaluate technical feasibility Deliver results independently in a self organizing Agile environment while constantly embracing and adapting new scientific advances About the team The AGI Foundations team is responsible for building industry leading Generative AI Foundational Models.BASIC QUALIFICATIONS ------------------------ 5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team PREFERRED QUALIFICATIONS ---------------------------- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Master's degree in machine learning or equivalent Hands-on experience and expertise in training Foundational Models/LLMs, and/or low-level optimization of ML training workflows, CUDA kernels, network I/O. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life \& AD\&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, CA, Sunnyvale - 193,300.00 - 261,500.00 USD annually USA, MA, Boston - 168,100.00 - 227,400.00 USD annually USA, NY, New York - 184,900.00 - 250,200.00 USD annually USA, WA, Bellevue - 168,100.00 - 227,400.00 USD annually
Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial s
We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their
AnthropicNew York City, NY; San Francisco, CA; Seattle, WA
$500,000 - $850,000/yr
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role We are looking for a Machine Learning Engineer to help us train Claude
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurt
Staff Applied AI and Machine Learning Engineer, Payments & Risk
GustoDenver, CO;San Francisco, CA;New York, NY;Los Angeles, CA;Seattle, WA;Toronto, Ontario, CAN - Remoteremote
CA$225,000 - CA$285,000/yr
About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that repr
Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp
Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp
Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp
Why Join Doppel Doppel is built to outsmart one of the great threats AI presents: mass-manufactured social engineering. Countless scams, deepfakes, and other social engineering attacks are surging across every digital channel: websites, social media, ads, encrypted messaging apps, mobile, and more. Our mission is simple but bold: make the internet a safer place by outsmarting the world’s fastest-evolving digital threats. Backed by a16z and Bessemer and trusted by some of the world’s most recognized brands (OpenAI, United Airlines, Coinbase, etc.), Doppel is growing fast. If you’re driven to solve real-world problems with bold technology, we’d love to meet you. What We're Building We're building the AI-native social engineering defense platform. This means we're designing scalable systems that monitor billions of domains, social media accounts, apps, dark web forums, etc., and leverage AI agents to identify and neutralize digital threats. What We're Looking For We’re looking for a machine learning engineer to help build and scale the models and systems that power Doppel’s detection systems. Check out our blog post on how we set up our ML platform. As an MLE at Doppel, you will Design, train, and deploy models for both batch and real-time inference that identify malicious or infringing content across diverse data sources. Partner closely with the Detection and Infrastructure teams to ensure our ML systems scale with the volume of web data we ingest Work on problems that range from NLP and embeddings to similarity search, classification, and anomaly detection Collaborate directly with customers and internal stakeholders to translate real-world threats into production ML systems You may be a fit if you: Have experience building and deploying ML systems in production environments Are comfortable working with large-scale datasets and distributed data processing frameworks Understand the trade-offs between research-quality models and production-ready systems Are excited about solving real-world problems where the adversary is constantly evolving What We Offer A mission-driven culture with low ego, high ownership, deep customer obsession, and exceptional talent density Free lunch and dinner in the office Flexible PTO Quarterly team offsites Join Doppel =============== Doppel is the first platform built to dismantle digital deception at scale. We scan over 150 million entities daily and deploy continuously adaptive AI SOC agents, paired with expert human analysts, to uncover and disrupt the infrastructure behind phishing, impersonation, and online fraud before attacks can spread. Our Threat Grid turns every customer signal into shared intelligence, making each disruption smarter, faster, and more effective. We’re not just another cybersecurity company. We’re defining the future of social engineering defense, where trust is protected, and deception becomes unprofitable. Backed by top-tier investors and trusted by some of the world’s most recognized brands, Doppel is growing fast. If you’re driven to solve real-world problems with bold technology, we’d love to meet you. Compensation Range: $140K - $300K
Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp
Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurt
PinterestSan Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; Los Angeles, CA, US
About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate
Snap Inc.onsite (4+ days per week in an office)onsite
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront. We're looking for a Machine Learning Engineering Manager to join the User & Friend
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Staff Software Engineer, Machine Learning (Safety) Discord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games. We are seeking an accomplished and experienced Staff Machine Learning Engineer – Safety ML to join our dynamic team. As a technical lead of the Safety ML team, you will be responsible for designing, developing, and maintaining our data and AI/ML infrastructure and services. You will collaborate with cross-functional teams, including data scientists, software engineers, MLEs and product managers, to deliver modern and cutting-edge solutions that improve safety on
Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people c