About Sigma: Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadshee
Machine Learning Engineer jobs in San Francisco
780 machine learning engineer opportunities in San Francisco updated today
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· Page 1 / 39About Us Edison Scientific builds and deploys AI scientist agents to accelerate science and the development of new medicines. We are an ambitious team run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI. About the Role As a Member of Technical Staff,
About Sigma: Sigma is the AI Apps and agentic analytics platform built on the cloud data warehouse. Business and technical teams use Sigma to explore live data, build intelligent applications, and automate critical workflows all without moving data or breaking governance. Sigma supports a spreadshee
We are looking for a Senior ML Engineer to design, build, and deploy machine learning models at scale. As a seasoned professional with 8+ years of experience in machine learning engineering, you will leverage your expertise to conceptualize, develop, and implement large-scale AI solutions that drive
About the Company Philyron is building the predictive brain for commercial fleets from tankers, cargo ships to defense vessels. We use real-time sensor data and historical maintenance records to predict and explain engine failures before they happen. The Role We're hiring a founding ML engineer to o
Our mission: eliminating every barrier to mental health. Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, mo
The role: Own the loop from raw robot experience to a model running on real hardware. Munari observes what robots see, sense, decide, and do. We want to use that data to detect abnormal behavior, understand failures, evaluate policies, identify recurring failure modes, and help robotics teams improv
About the Team: Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. We at Grindr believe that AI c
About the Position As an AI/ML Engineer , you’ll design, develop, and deploy machine learning models that accelerate engineering simulations, improve accuracy, and unlock new possibilities in design exploration. From adaptive solvers and reduced-order modeling to generative design and real-time vali
About Centralize Enterprise sales runs on relationships, and every tool built to manage them is a database from 2005. Reps lose seven-figure deals because they can’t see who actually matters inside an account. We’re building the system of intelligence for relationships, the R that CRMs never actuall
About Ixian Ixian Robotics is building intelligent machines to reindustrialize America. We’re based in San Francisco and backed by a16z and Accel. We believe robotics is a full-stack problem. Software, hardware, and machine learning are only part of it. Bridging advances in robot learning with Ameri
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented ind
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
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
Ellipsis Health is creating cutting-edge AI/ML products that solve healthcare staffing challenges and administrative burdens using conversational AI and our patented voice biomarker technology—helping deliver better healthcare for everyone. We are headquartered in Silicon Valley and are funded and s
About the Role Join a machine learning team building vision models that interpret complex documents and prepare their contents for use by language models. You will own models end to end, from research and experimentation through production, working on real-world enterprise workloads. What You'll Do
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
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
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
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
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About the Team: Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. At Grindr, we’re at the dawn o
About the Team: Grindr is an AI-native platform powering how millions of gay people connect globally. With 15M+ monthly users, 130B+ annual messages, and a team of fewer than 200, we move fast, stay lean, and tackle technical problems at a scale few companies ever see. At Grindr, we’re at the dawn o
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 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 Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoi
About Vinci Every physical thing you touch exists because somebody successfully navigated the laws of physics: the chips in your phone, the vehicles on the road, the data centers powering AI. Physics determines what can be built, how well it performs, and where it breaks. Yet the tools engineers use
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
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
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
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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