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18 open positions · Updated 6 days ago
18 PyTorch roles across 10 companies, most in AI/ML; typical advertised salary $190k
Who is hiring (10 companies)
Role types
Work arrangement: 10 hybrid · 1 on-site · 7 not stated
Advertised salaries: p25 $153.0k · median $190k · p75 $350k (from 10 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 18 of 18 positions
Search with filters →Join Anthropic as a Research Engineer to develop the next generation of large language models in a collaborative AI research environment.
Join K2 Space as a Photonic IC Design Engineer to lead photonic design automation and modeling for cutting-edge satellite technology.
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 intern to work on innovative AI projects impacting millions of users.
Join Pinterest as a Machine Learning Engineer to tackle challenges in AI and contribute to large-scale recommendation systems.
Join Anthropic as a Research Engineer/Scientist to develop next-generation RL algorithms and architectures at frontier scale.
Join Fireworks AI as a Member of Technical Staff to advance generative AI and multimodal systems through foundational research.
Join Xaira Therapeutics as an AI Scientist Intern to advance AI models for protein and antibody therapeutic design.
Join a dynamic team as an AI Research Engineer to advance AI and machine learning in a startup focused on human-robot interaction.
Drive new business opportunities in AI infrastructure as a Principal Solution Specialist at CoreWeave.
Lead technical initiatives in data science to enhance Lyft's enterprise offerings and drive growth through algorithm development.
Join Stripe as a Machine Learning Engineer to develop and deploy ML models for payment intelligence and fraud detection.