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Natural Language Processing Jobs in San Francisco
21 open positions · Updated 5 days ago
21 Natural Language Processing roles across 13 companies, most in AI/ML; 10% fully remote; typical advertised salary $174.1k
Who is hiring (13 companies)
Role types
Work arrangement: 2 fully remote · 14 hybrid · 5 not stated
Advertised salaries: p25 $146k · median $174.1k · p75 $200k (from 13 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 21 positions
Search with filters →Lead research projects to build a Business World Model through simulation and self-improvement at a pioneering AI startup.
Join Pinterest as a Machine Learning Intern to tackle challenges in AI and contribute to innovative solutions impacting millions.
Join Pinterest as a Machine Learning Engineer to tackle challenges in AI and contribute to large-scale recommendation systems.
Join Pinterest as a Machine Learning Engineer to tackle challenges in AI and contribute to large-scale recommendation systems.
Lead enhancements to Databricks' AI/ML-powered search platform, focusing on search quality and relevance.
Join Crucibl as a Member of Technical Staff to push the frontier of judgment in AI and shape the future of decision-making.
Join Cogent Security as a Software Engineer to architect the world's first AI Cyber Taskforce for cybersecurity automation.
Join HappyRobot as a Machine Learning Engineer to build AI models for human-like conversations and shape the future of AI infrastructure.
Join Midstream Health as a Software Engineer to shape an AI-native platform for healthcare finance in a hybrid role based in the Bay Area.
Join Faire as a Senior Applied AI/ML Scientist to shape the future of search and recommendation systems in a hybrid work environment.
Join Abridge as a Machine Learning Scientist to advance medical NLP and contribute to impactful healthcare solutions.
Join Together AI as a Research Engineer to develop a platform for customizing open-source models with user data.
Lead the technical vision and ML algorithm strategy for the Search Group at Faire, enhancing personalized shopping experiences.
Lead the Discovery Experience team at Faire, focusing on AI-powered search and personalization for independent retailers.
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