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Data Pipelines Jobs in San Francisco
37 open positions · Updated 1 week ago
37 Data Pipelines roles across 26 companies, most in AI/ML; 3% fully remote; typical advertised salary $187.2k
Who is hiring (26 companies)
Work arrangement: 1 fully remote · 23 hybrid · 7 on-site · 6 not stated
Advertised salaries: p25 $152.5k · median $187.2k · p75 $282.5k (from 18 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 17 of 37 positions
Search with filters →Join Mirendil as a staff engineer to work on cutting-edge AI pretraining, optimizing models and infrastructure.
Join Sprinter Health as a Staff Machine Learning Engineer to build and lead the ML engineering function in a hybrid work environment.
Join Sprinter Health as an ML Engineer to build reliable production systems for machine learning models in a hybrid work environment.
Join Headway as an Engineering Manager to lead teams in building a reliable financial system for mental healthcare.
Lead complex programs across teams to enhance Komodo Health's data platform and drive impactful healthcare insights.
Lead the post-sales lifecycle for strategic accounts in a fast-paced AI-driven financial services company.
Lead the product strategy for Abridge's AI/ML evaluation platform, ensuring quality and efficiency across multiple product teams.
Join Anthropic as a Staff+ Software Engineer to build and maintain the RL Data Platform for reliable AI systems.
Join a small, passionate team to build data systems for training frontier coding models at Cursor.
Join Mintlify as an Applied AI Engineer to build impactful AI products for a platform serving over 100 million developers annually.
Own the internal tooling for the ISV partner organization at Databricks, focusing on data pipelines, dashboards, and AI applications.
Own the infrastructure for machine learning research to detect and mitigate misuse of AI models at Anthropic.
Lead the Research Data Platform team at Anthropic to enhance data systems for AI research, ensuring usability and trustworthiness.
Lead and grow the Forward Deployed Engineering team at Labelbox, focusing on technical quality and customer needs in AI development.
Join Cursor as a Staff Data Scientist to build data infrastructure and insights for the rapidly growing GTM Analytics team.
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