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Machine Learning Jobs in San Francisco
239 open positions · Updated 3 weeks ago
239 Machine Learning roles across 74 companies, most in AI/ML; 3% fully remote; typical advertised salary $208k
Who is hiring (74 companies)
Work arrangement: 6 fully remote · 137 hybrid · 26 on-site · 70 not stated
Advertised salaries: p25 $165.6k · median $208k · p75 $259k (from 143 disclosed annual salaries, USD)
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 20 of 239 positions
Search with filters →Join Together AI as a Research Intern to explore speculative decoding and enhance large language model generation.
Join Together AI as a Research Intern to explore speculative decoding and enhance large language model performance.
Join Olema Oncology as a Director of Commercial Data Strategy to leverage data science for commercialization efforts in the biotech industry.
Own the strategy for detecting and enforcing against inauthentic behavior on Pinterest, collaborating across multiple teams.
Join Stripe as a Credit Risk, Fraud Strategist to analyze and mitigate fraud risks in a fully remote environment.
Join Vercel as a Machine Learning Engineer to build systems that detect and stop abuse on a large scale.
Lead technical direction for scalable content understanding systems at Pinterest, impacting user and business outcomes.
Join Goodfire as a Research Fellow to work on AI interpretability projects with leading researchers in a collaborative environment.
Lead the App Promotion engineering team at Pinterest, driving app install optimization and managing a diverse team of engineers.
Shape the future of Pinterest's Trust and Safety products as a Staff Data Scientist with a focus on quantitative modeling and collaboration.
Shape the technical vision for Pinterest's Notifications & Growth Platform while leading cross-functional teams.
Lead machine learning engineering for Ads Quality at Pinterest, driving technical strategy and team development.
Lead AI strategy and innovation at MaintainX to define the intelligence layer for industrial operations.
Lead technical direction for AI initiatives at Asana, collaborating across teams to shape the future of AI in products.
Join Sierra as a Research Engineer to tackle applied AI and ML challenges in a collaborative environment focused on customer-facing solutions.
Join Lyft as a PhD Machine Learning Software Engineer Intern to tackle open research problems impacting millions of riders.
Lead a team of Solutions Architects to drive the adoption of the Databricks Platform at major tech companies.
Join Lyft as a Data Scientist to develop dynamic pricing models and collaborate with cross-functional teams to enhance rider and driver experiences.
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