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Ml Jobs in San Francisco
32 open positions · Updated 1 day ago
32 Ml roles across 20 companies, most in AI/ML; 3% fully remote; typical advertised salary $197.1k
Who is hiring (20 companies)
Work arrangement: 1 fully remote · 13 hybrid · 2 on-site · 16 not stated
Advertised salaries: p25 $168.0k · median $197.1k · p75 $242.7k (from 15 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 32 positions
Search with filters →Join Inferact as a co-op student to work on cutting-edge AI inference systems in a hands-on engineering role.
Join Databricks as a Solutions Architect to drive product adoption and technical credibility in AI and analytics solutions.
Join Perplexity AI as an Applied AI Engineer to develop cutting-edge agents for enhancing user experience.
Join Reflection AI as a Data Quality Engineer to ensure high data standards for AI model training and evaluation.
Join Reflection AI as a Data Quality Engineer to ensure high-quality data for model training in a mission-driven research lab.
Join Baseten as a Software Engineer to architect and develop scalable infrastructure for ML training platforms.
Join Baseten as an Infrastructure Software Engineer to build and maintain components of our ML inference platform for AI applications.
Join Netic as an Applied AI Research Engineer to drive impactful ML projects in a cutting-edge AI-first environment.
Drive high-impact research in automated reasoning and AI-driven security at a rapidly growing applied AI lab.
Lead technical execution of synthetic data generation projects to enhance AI model training and performance.
Join Exa as an ML evals engineer to design and build evaluation frameworks for a groundbreaking AI search engine.
Join OpenRouter as a Forward Deployed Engineer to help customers implement and scale AI solutions effectively.
Join Sesame as a Staff Software Engineer to lead the development of backend infrastructure for innovative voice agent technology.
Join Ambience as a Staff ML Engineer to shape AI systems that enhance clinician experiences in healthcare.
Lead the product strategy for Abridge's AI/ML evaluation platform, ensuring quality and efficiency across multiple product teams.