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Natural Language Processing Jobs in San Francisco
23 open positions · Updated 11 hours ago
23 Natural Language Processing roles across 14 companies, most in AI/ML; 9% fully remote; typical advertised salary $174.1k
Who is hiring (14 companies)
Role types
Work arrangement: 2 fully remote · 17 hybrid · 4 not stated
Advertised salaries: p25 $149.5k · median $174.1k · p75 $205.5k (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 23 positions
Search with filters →Lead research projects to build a Business World Model through simulation and self-improvement at a pioneering AI startup.
Drive machine learning and AI in identity and risk domains at Gusto, building a model-driven risk platform.
Join Mercury as a Staff Data Scientist to build and own the inference layer for our small business lending program.
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.
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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