JAX Engineer Jobs (2026)
JAX is Google's high-performance ML framework, favored by research labs for its functional programming model, automatic differentiation, and seamless TPU integration. JAX engineers work on cutting-edge research and production ML systems that require maximum computational efficiency.
Last updated: June 27, 2026
Latest JAX Jobs
View all jobsProduct Manager, Regulatory Outputs & Product Intelligence
TPU Kernel Engineer
Staff Machine Learning Engineer Lead
Machine Learning Engineer - VLM/LLM Integration
Staff Research Engineering Lead
Machine Learning Scientist
Machine Learning Engineer - VLM/LLM Integration
Machine Learning Engineer
Senior Machine Learning Engineer
Senior Staff Software Engineer, TLM
AI Architect
Senior Staff TLM, Perception, Pre-training & Distillation
Research Engineer/Research Scientist, Audio
Senior/Staff Engineer, Technology -AMAIS
Senior Software Engineer, TorchTPU
Principal Engineer Tech Lead Manager, ML Acceleration
AI Engineer (World Models)
Senior Research Scientist, Foundation Model (LLM/VLM)
Senior/Staff ML Engineer, 3D/4D World Modeling, Simulation
Senior Machine Learning Engineer, Computer Vision/VLM
Frequently Asked Questions
Why is JAX popular in AI research?
JAX offers composable transformations (jit, grad, vmap, pmap) that make it ideal for research experimentation. It runs natively on TPUs, supports large-scale distributed training, and its functional approach makes debugging and reproducibility easier. While PyTorch dominates industry adoption (appearing alongside Python in 47-58% of AI listings), JAX has carved out a strong niche at frontier research labs where maximum computational efficiency is required for training the largest models.
What companies use JAX?
Google DeepMind is the primary user of JAX, along with Google Research teams. Anthropic also uses JAX extensively for training their Claude models. Many academic research labs prefer JAX for its flexibility and TPU performance. Knowledge of Flax and Optax is commonly required. About 70% of AI graduate students are international, and many gain JAX experience through research collaborations with Google-affiliated labs before entering industry.
What is the salary for JAX engineers?
JAX engineers earn competitive research-track salaries, with senior roles at Google DeepMind and Anthropic reaching $195K-$350K+ in base salary and significantly higher total compensation. AI Engineers average $140K-$185K base with total comp around $211K, but JAX specialists at frontier labs typically earn above these averages. US-based roles lead at $147K-$176K average, with European AI researchers earning roughly $100K less than their US counterparts, though Switzerland is the exception at approximately $145K average.
AI Job Insights for JAX Jobs
Salary Range (Yearly, USD)
$40K - $386K
Median $156K from 49 listings with salary data
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Common Roles
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