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Deep Learning Jobs in San Francisco
30 open positions · Updated 3 days ago
30 Deep Learning roles across 18 companies, most in AI/ML; 7% fully remote; typical advertised salary $201k
Who is hiring (18 companies)
Role types
Work arrangement: 2 fully remote · 15 hybrid · 3 on-site · 10 not stated
Advertised salaries: p25 $168.4k · median $201k · p75 $226.5k (from 20 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 30 positions
Search with filters →Join Xaira Therapeutics as a Senior/Staff AI Research Engineer to develop AI models that accelerate drug discovery and improve human health.
Join Xaira Therapeutics as an AI Scientist to develop multimodal foundation models for drug discovery using advanced AI techniques.
Join Perplexity AI as a Technical Staff member to advance AI products and capabilities in a dynamic research environment.
Join Chef Robotics as a Senior Perception Engineer to develop AI-driven robots for food preparation in a fast-paced, onsite environment.
Join Resolve AI as a Research Engineer to develop AI-powered workflows and optimize data pipelines in a collaborative environment.
Lead the development of AI-powered features for an end-to-end intelligence platform in public safety.
Join Cogent Security as a Software Engineer to architect the world's first AI Cyber Taskforce for cybersecurity automation.
Join Tavus as a Conversational Modelling Research Engineer to advance AI Humans through innovative multimodal conversational models.
Join HappyRobot as a Machine Learning Engineer to build AI models for human-like conversations and shape the future of AI infrastructure.
Join Krea as an ML Engineer to build personalization and recommendation systems that enhance creative AI tools.
Join Krea.ai as a Machine Learning Engineer to work on innovative AI tools for creatives in a collaborative environment.
Join Sesame as a Research Engineer to innovate in NLP, Speech, and Computer Vision with a focus on deep learning.
Join Sesame as a Machine Learning Scientist to develop innovative ML models in a collaborative startup environment.
Lead the development of machine learning solutions to empower local retailers in a two-sided marketplace.
Join Faire as a Senior Applied AI/ML Scientist to shape the future of search and recommendation systems in a hybrid work environment.
Lead a rapidly growing team of engineers to develop user-facing mapping experiences at Lyft.
Lead consumption forecasting at Vercel, architecting ML systems for financial planning and decision-making.
Join Descript as an Applied Research Scientist to develop multimodal understanding models for innovative AI editing features.
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