154 openings · 16 companies · Updated November 12, 2026
Machine learning engineers and scientists building ML models and pipelines.
154 jobs
Samsara's AI Experience team builds the Samsara Assistant and Agent Studio, where customers create chat and voice agents that work across their safety, maintenance and operations data.…
Platform · Machine Learning · Product · Support · Operations
Samsara's AI Experience team builds the Samsara Assistant and Agent Studio, where customers create chat and voice agents that work across their safety, maintenance and operations data.…
Platform · Machine Learning · Product · Support · Operations
CSQ128R180 At Databricks we work on some of the most complex distributed processing and machine learning problems in the world and our customers challenge us with interesting new big…
Databricks · Machine Learning · Support · Operations
On the Discovery team at Anthropic, we're expanding our work on engineering and the applied sciences. Our goal is to contribute to training Claude to invent, design, and engineer across…
AI Research & Engineering · Machine Learning · Manufacturing
We're hiring for the Cybersecurity RL team within Horizons. As a Research Engineer, you'll help to safely advance the capabilities of our models in secure coding, vulnerability…
AI Research & Engineering · Machine Learning · LLM · Security · Sales
The Safety AI team builds end-to-end computer vision and machine learning for Samsara’s AI dash cameras – delivering real-time driver safety insights and in-cab alerts. As a Sr. Manager…
Safety AI · Go · Machine Learning · Computer Vision · Product
The Samsara AI team builds end-to-end AI solutions for our customers as well as core ML infrastructure for Samsara. As a Staff Machine Learning Engineer, you will be working with…
Safety AI · Go · Machine Learning · Product · Customer Success
The Samsara AI team builds end-to-end AI solutions for our customers as well as core ML infrastructure for Samsara. As a Staff Machine Learning Engineer, you will be working with…
Safety AI · Go · Machine Learning · Product · Customer Success
At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded.…
AI Research & Engineering · Machine Learning · LLM · Security · Sales
Be responsible for leading and developing a talented post-sales Customer Success and Support team, who are the primary owners of business and technical relationships with our customers.…
Revenue · Machine Learning · Security · Product · Sales
The Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic…
AI Research & Engineering · Machine Learning · Mechanical · Electrical · Manufacturing
The Discovery team at Anthropic is organized around the north star goal of building an AI scientist – a system capable of solving the long-term reasoning challenges and basic…
AI Research & Engineering · Machine Learning · Manufacturing
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're…
Early Career · Machine Learning · Figma · Product · Embedded
As a Forward Deployed Engineer - AI/ML Platforms at Anyscale, you’ll partner with some of the world’s most sophisticated AI organizations to design, deploy, and operate the…
Customer Solutions Group · AWS · Azure · GCP · Kubernetes
Anyscale's security needs are growing as we operate more production and cloud infrastructure for larger and more demanding customers. We're looking for a Senior Cloud Security Engineer…
Engineering · AWS · Azure · Kubernetes · Machine Learning
Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are…
AI Research & Engineering · Python · Kubernetes · Machine Learning · Deep Learning
Samsara’s Machine Learning, AI, Analytics & Data (MAAD) team builds the intelligence and technology that helps our go-to-market teams work faster, make better decisions, and spend more…
Revenue Operations · Go · Machine Learning · LLM · Data Science
Develop and deploy large-scale machine learning systems that drive significant business value across various domains. Engage in the end-to-end process of designing, training, improving,…
General University · Python · Spark · Machine Learning · Data Science
Develop and deploy large-scale machine learning systems that drive significant business value across various domains. Engage in the end-to-end process of designing, training, improving,…
General University · Python · Spark · Machine Learning · Data Science
SLSQ427R457 We are looking for a Director, AI Sales (IC) to grow Databricks’ enterprise AI business and shape how we take AI to market. You will work directly with executives and…
HQ Management · Go · Databricks · Machine Learning · Product
The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a…
AI Research & Engineering · Kubernetes · Machine Learning · NLP · Data Science
Anyscale is looking for an engineering leader to manage the open source Ray Data team. Ray Data https://docs.ray.io/en/latest/data/data.html is the Python-native data processing engine…
Engineering · Python · Machine Learning · Product · Support
Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who…
AI Research & Engineering · Python · Machine Learning
We’re looking for a senior Machine Learning Data Scientist to lead our forecasting initiatives. You’ll be one of the founding members of the Forecasting pillar within Strategic Finance…
Go · Machine Learning · Data Science · Product · Finance
We are looking for a senior researcher to lead technical work on misalignment monitoring for frontier AI systems. You will develop methods to evaluate the effectiveness of AI monitors,…
Safety Systems · Machine Learning
There are 154 open Machine Learning jobs in San Francisco, CA right now, posted by 16 employers, including Anthropic, OpenAI, Databricks and Anyscale. 12 of them were posted in the last seven days, and the newest on November 10, 2026.
Most openings ask for 3–5 years of experience; 17 suit entry-level candidates (0–2 years); 25% are remote and 1% hybrid; where employers publish pay, ranges run from $150K to $850K a year (median starting pay $266K); the skills asked for most are Machine Learning, Product, Python, Data Science and AI Research & Engineering.
Every listing comes from the employer's own careers page and is refreshed twice a day (last update November 12, 2026). Apply opens the employer's own application page; there is no sign-up and no fee.
154 Machine Learning jobs are open in San Francisco, CA as of November 12, 2026, from 16 employers. The list is refreshed twice a day from the employers' own career pages, and closed openings are removed.
Anthropic (38), OpenAI (31), Databricks (26), Anyscale (16), Stripe (10), Samsara (6), Figma (6) and Turing (6), and 8 more. Use the Company filter to see one employer's openings.
Among openings that publish pay (many US states require a pay range in the posting), yearly pay runs from $150K to $850K, with a median starting figure of $266K. Hourly rates are counted at 2,080 hours a year. These are the employers' published ranges, not guaranteed pay.
Yes: 17 of these openings ask for 0–2 years of experience. Choose "0–2 years" under Experience to see them.
38 openings are fully remote and 1 hybrid, as stated by the employer. Remote roles are open to people in the US unless the posting names specific states. Pick Remote or Hybrid under Work mode.
Most US employers ask that you are authorized to work in the United States; postings often say whether visa sponsorship is offered. Each job page shows who may apply when the posting says so; check the full posting before you apply.
Open a job and press Apply: it takes you to the employer's own careers page, where you apply directly. askjobs does not collect resumes, act as a recruiter or charge anything.
