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Staff JAX Jobs
20 open positions · Updated 15 hours ago
20 JAX roles across 15 companies, most in AI/ML; 5% fully remote; typical advertised salary $230k
Who is hiring (15 companies)
Role types
Work arrangement: 1 fully remote · 5 hybrid · 3 on-site · 11 not stated
Advertised salaries: p25 $199.9k · median $230k · p75 $255.5k (from 12 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 20 positions
Search with filters →Join Profound as a Post-Training Engineer to enhance AI models for Fortune 500 marketing teams in a fast-paced environment.
Join Harvey as a Research Engineer to build infrastructure for ML models in a fast-paced, fully remote environment.
Join Harvey AI as a Member of Technical Staff to build infrastructure for ML models in legal work.
Join Reflection AI as a Member of Technical Staff to design and implement data sourcing and curation techniques for AI models.
Join Discord as a Staff Machine Learning Engineer to build ML systems for consumer revenue across various platforms.
Own the strategy and execution for infrastructure-native products at the intersection of W&B and CoreWeave.
Join Anthropic as a Staff Software Engineer to build scalable ML infrastructure for AI safety systems.
Join Fireworks AI as a Member of Technical Staff to advance generative AI and multimodal systems through foundational research.
Join Perplexity AI as a Technical Staff member to enhance our AI inference engine with cutting-edge technologies.
Join Perplexity AI as an AI Inference Engineer to optimize and develop our inference engine for various model architectures.
Join Arena as a Machine Learning Scientist to evaluate AI models and contribute to impactful research in a collaborative environment.
Join Udio as a full-stack scientist to lead quantitative research efforts at the intersection of music and AI.
Join Fireworks AI as a Member of Technical Staff to advance generative AI through foundational research and collaboration with top experts.