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.
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.*
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
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
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
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
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 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
AnthropicNew York City, NY; San Francisco, CA; Seattle, WA
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
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
Get the job you really want. Maximum of 25 job preferences reached. Top Machine Learning Engineer Jobs in San Francisco, CA Financial Services Lead the ML and AI engineering team, strategizing and implementing AI solutions for business growth, mentoring staff, and collaborating across departments. Top Skills: Apache AirflowDatabricksDeep LearningFlinkGenerative AiKafkaKinesisMachine LearningMl OpsSnowflakeSparkXgboost Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices. Top Skills: PythonPyTorchTensorFlow 7 Days AgoSaved Artificial Intelligence • Food • Software Lead the design, execution, and analysis of machine learning-driven product experiments to optimize ordering systems. Collaborate with stakeholders and mentor teams. Top Skills: A/B TestingCausal InferenceData PipelinesMachine Lea
PythonPyTorchTensorFlowFaissLarge-Scale Retrieval+16 more
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
Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedica
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
This is Adyen Adyen is the financial technology platform of choice for leading businesses, providing payments, data, and financial products in a single solution for global customers like Meta, Uber, and H&M. At Adyen, everything we do is engineered for ambition. We create an environment with opportunities for our people to succeed, backed by a culture that encourages ownership and provides the support to truly own your career. We are motivated individuals who tac
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
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
P-1408 The Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. As our Search product continues to e
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
Staff Software Engineer - Machine Learning San Francisco, CA Engineering / Full-time / On-site Hivemapper is a decentralized global mapping data network built by 10s of thousands of people. At any given time, many 1000s of dashcams are collecting high-quality sensor data somewhere in the world and performing various computations at the edge, including state of the art computer vision tasks. 1000s of other contributors participate as AI Trainers, annotating and confirming the output of ML models. 2024 will see us 10x the number of contributors to the network. High-resolution imagery, GNSS, IMU, and other data, are then promptly uploaded for further processing and analysis (sensor fusion, 3D reconstruction, ML, human-in-the-loop annotation, etc.). Today, different data API products allow transparent and programmatic access for anyone to consume high-resolution imagery and sensor data, precisely extracted Map Features (speed signs, turn restrictions, highway signs, etc.). New data product
Computer VisionMachine LearningImage ProcessingObject DetectionClassification+9 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
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
Get to know OktaOkta is The World’s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.At Okta, we celebrate a variety of perspectives and experiences. We are not lookin