About The Team The Applied AI team collaborates with product teams across Uber to deliver innovative AI solutions for core business problems. We work closely with engineering, product and data science teams to understand core business problems and the potential for AI solutions, then deliver those A
Machine Learning Engineer jobs in San Francisco
769 machine learning engineer opportunities in San Francisco updated today
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· Page 1 / 39Senior Machine Learning Engineer (Foundation Models) Type : Full-time Location : San Francisco, United States. In person. At this time we are only able to hire candidates who are already based in the US and able to work in-person in San Francisco. We do not support relocation at this time. PLEASE DO
Type: Full-time Entry Level Role Start date: ASAP Location: SF, USA, remote — On-site/hybrid possible The successful candidate must be eligible to work in the US or the UK. We are not able to sponsor visas at this time. The Role Netholabs is building AI grounded in biological intelligence. We record
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Scientific / ML Engineer Type: Contract Comp
About the Role Build and deploy production machine learning systems in a fast-moving product environment. You will own work across the ML lifecycle, partnering with product, engineering, and domain experts to deliver models that address real business needs. What You'll Do Design, train, and evaluate
Senior Machine Learning Engineer (Foundation Models) Type : Full-time Location : San Francisco, United States. In person. At this time we are only able to hire candidates who are already based in the US and able to work in-person in San Francisco. We do not support relocation at this time. PLEASE DO
At GSK we see a world in which advanced applications of Artificial Intelligence will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an amb
Type: Full-time Entry Level Role Start date: ASAP Location: SF, USA, remote — On-site/hybrid possible The successful candidate must be eligible to work in the US or the UK. We are not able to sponsor visas at this time. The Role Netholabs is building AI grounded in biological intelligence. We record
Overview Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entit
About the Role Lead perception engineering for a defense technology team developing autonomous systems. You will own the perception stack, from detection and tracking to sensor fusion, and help ensure it performs reliably on real hardware in demanding field conditions. What You'll Do Set the percept
🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categor
Job Description About Reducto Reducto is the agentic document platform for leading AI teams who demand enterprise performance at scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and ac
Job Description The Applied AI team at Databricks sits at the forefront of advancing GenAI-powered products. Over the past years, we’ve launched Databricks Assistant, AI/BI Genie, and Agent Bricks working with product teams, and made significant strides in LLM quality for these products. These produ
About the Role Join an applied AI team building the production systems behind an enterprise process intelligence platform. You will turn complex customer data into reliable, useful product experiences powered by hosted frontier models. What You'll Do Own customer-facing AI features end to end, from
About the Role Build and deploy production machine learning systems in a fast-moving product environment. You will own work across the ML lifecycle, partnering with product, engineering, and domain experts to deliver models that address real business needs. What You'll Do Design, train, and evaluate
Who you are 5+ years of experience in Machine Learning, Data Science, or Applied Science, with a track record of shipping recommendation or personalization systems end to end Hands-on experience building modern recommendation systems: retrieval and ranking pipelines, embedding-based retrieval (e.g.
Who you are 8+ years of experience conducting statistical analyses on large datasets and deep domain knowledge in machine learning and artificial intelligence, including familiarity with Large Language Models (LLMs) and their applications. This could mean either a MS or PhD in a quantitative field w
Description About the role and team Operating across key business areas like grocery and food, the Consumer Incentives team drives Uber's growth and long-term profitability. We build products that power seamless, affordable, and enjoyable customer experiences by building sophisticated distributed sy
Who you are 8+ years of experience and a consistent record of delivering and improving large-scale ML systems for ranking, recommendation, personalization, or resource allocation Experience defining objective functions, building predictive models, and deploying optimization algorithms that balance u
Who is Recruiting from Scratch : Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. Senior Machine Learni
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TetraScience is building the scientific data and AI cloud for biopharma. The platform is the innermost foundation for developing, delivering and operating our enterprise grade, secure, compliant Scientific Data and AI capabilities customers rely on. We are looking for a Senior Software Platform Engi
Why Join GEICO? At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers'
Why Join GEICO? At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers'
As a Perception Engineer, you will be instrumental in designing and implementing cutting-edge detection models, utilizing fused sensor data. In particular, the role will be on advanced projects that are aimed at the next generation of driving software, including looking at joint detection and tracki
The 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to accelerate autonomy by blurring the line between simulation and reality. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions
The 3D Simulation group at Zoox is looking for machine learning engineers to bring the latest research in 3D vision to accelerate autonomy by blurring the line between simulation and reality. Our ML group is working on generating rich and diverse 3D environments, humans, and environmental conditions
About Coframe: At Coframe, we are building a future where user and agent interfaces can adapt, evolve, and personalize themselves. We are generating revenue, growing rapidly, and trusted by companies you definitely know. Coframe is a primarily in-person company based in San Francisco, well-capitaliz
About Aether Aether engineers enzymes and uses them to make materials that are hard or impossible to produce any other way. The goal is not a better product line. It is to reach the point where more or less anything can be manufactured quickly and cheaply, anywhere, by borrowing a few billion years
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-hou
Estimated salary for Machine Learning Engineer in San Francisco
$73,000 – $115,000/year
Estimation confidence: High
Estimate based on market data for San Francisco. Actual salaries may vary depending on experience, company, and area.
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