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
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
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
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.
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
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
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
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
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
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
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
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, duri
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
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.The Com
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
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
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
Senior Software Engineer, Machine Learning and Artificial Intelligence Palo Alto, CA Research & Development – Software Engineering / Full-time / Hybrid About Mashgin Mashgin powers the world's best checkout experience for over 40 million users. Customers just place their items on our kiosks and our AI rings up their entire order in less than a second. With Mashgin, lines are now optional. Mashgin's technology powers over 1 billion transactions at your favorite locations, including over half of all US professional sports teams, 4,000 convenience stores, major airports, universities, and more. We’re not just building cutting-edge AI—we’re creating real-world impact and unforgettable experiences. Backed by a well-funded Series B, we’re also one of the rare AI startups that’s already profitable. Our secret? A culture of extreme ownership, autonomy, and customer obsession. At Mashgin, we are building something extraordinary by challenging conventional wisdom. We’ve thrown out the old rules
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
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.
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
Senior Machine Learning Site Reliability Engineer Milan / Madrid / London Engineering – Engineering / Permanent Employment / Remote Are you looking for a new challenge? Fancy helping us shape the future of motor insurance? Prima could be the place for you. Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 5 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain. To help fuel that growth, we need a Senior Machine Learning Site Reliability Engineer to join our Infrastructure team. This team is the beating heart of Prima. You’ll be joining over 300 engineers across software development, infrastructure, operations and security. Fueled by curiosity, experimentation and collaboration, you’ll help deliver scalable, impactful solutions that sh
SRE practices in productionAWS expertiseKubernetesnetworkingDNS+9 more
Senior Software Engineer, Machine Learning - Consumer ML About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business. About the Role We’re looking for a passionate Applied Machine Learning expert to join our team. As a Senior Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine
Applied ML for Causal Infer...PythonPyTorch or TensorFlow
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.Join the Affirm team as a Senior Staff Machine Learning Engineer and become a pivotal part of our innovative ML team. Our team is dedicated to Affirm's mission of revolutionizing financial services with transparency and inclusivity at its core. We are utilizing
Senior 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 experienced Senior Machine Learning Engineer to join our Safety ML team. This role focuses on building and deploying machine learning models that help keep Discord users safe, including real-time and batch systems for content understanding, risk evaluation, and account integrity. You will work closely with partners across product, engineering, design, policy, legal, and Trust and Safety to design and deliver effective ML solutions. This role re
P-984 Founded in late 2020 by a small group of machine learning engineers and researchers, Mosaic AI enables companies to securely fine-tune, train and deploy custom AI models on their own data, for maximum security and control. Compatible with all major cloud providers, the Mosaic AI platform provides maximum flexibility for AI development. Introduced in 2023, Mosaic AI’s pretrained transformer models have established a new standard for open source, commercially usable LLMs and have b
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.At Affirm, we’ve been very successful in our mission in delivering honest financial products that improve lives. Machine Learning has played a significant part in helping Affirm deliver on that mission. As we look into the future, we expect ML to continue to play an outsized role. We
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
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
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
Location Details: Gurugram, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely. Hybrid: This is a hybrid position. You’ll divide your time between working remotely from your home and an office, so you should live within commuting distance. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team. Join our Team… If you are passionate about machine learning and want to make a difference for millions of small businesses, join our DnAI (Data and Artificial Intelligence) team at GoDaddy as a Senior Machine Learning Engineer. You will have the opportunity to enable modern machine learning models and Generative AI solutions to build intelligent software that
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.<span style="fo
Location Details: Bulgaria - remote At GoDaddy, the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days), and some work entirely remotely. This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team The Commerce Data & ML team is at the core of powering intelligent and secure experiences for GoDaddy’s Commerce division. Partnering with the Data Science team, we support a wide range of machine learning and data engineering efforts that help GoDaddy Commerce understand its customers, prevent fraud, and tailor product experiences. We work closely with the Risk team to build and maintain production ML Risk Models, such as Transaction Risk Scoring and Merchant Risk Models. We also collaborate with the Growth team to enable data-driven marketing and cu
Senior Staff Machine Learning Engineer New York, NY Engineering – Personalization / Permanent / Remote The Personalization team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music and podcasts better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search, original playlists like Discover Weekly and Daylist, and are at the forefront of new innovations like AI DJ and AI Playlists. Generative AI is transforming Spotify’s product capabilities and technical architecture. Generative recommender systems, agent frameworks, and LLMs present huge opportunities for our products to serve more user needs and use cases and unlock richer understanding of our content and users. This Senior Staff Machine Learning Engineer will focus on rec
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
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
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
Senior Software Engineer, Machine Learning - Consumer ML About the Team Come help us build the world's most reliable on-demand, logistics engine for last-mile retail delivery! We're looking for an experienced machine learning engineer to help us develop modern growth and personalization models that power DoorDash's growing retail and grocery business. About the Role We’re looking for a passionate Applied Machine Learning expert to join our team. As a Senior Machine Learning Engineer, you’ll be conceptualizing, designing, implementing, and validating algorithmic improvements to the growth and personalization experiences at the heart of our fast-growing grocery and retail delivery business. You will use our robust data and machine learning infrastructure to implement new ML solutions to make the consumer search experience more relevant, seamless, and delightful across grocery, convenience, and many other retail categories. You will demonstrate a strong command of production level machine
Applied ML for Causal Infer...PythonPyTorch or TensorFlow
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
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 from happy users. It's not just our users who believe in Fetch: with investments from SoftBank, Univision, and Hamilton Lane, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees. At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don't need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what's next, with us. Ranked as one of America's Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch. Fetch is an equal employment opportunity employer.About the Role: We are seeking a Machine Learning Software Engineer to join Fetch's Scan, Match & Catalog team. This role sits at the intersection of applied machine learning, data engineering, and production systems, with a focus on improving receipt understanding, product matching, and catalog enrichment at scale. You wPlease mention the word FASHIONABLY and tag RMTA1LjIxNC4xMjcuMTgz when applying to show you read the job post completely (#RMTA1LjIxNC4xMjcuMTgz). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.