JAX and PyTorch frequently appear together in AI job postings, with 64 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $250K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
JAX and PyTorch appear together in 64 current AI job postings, most commonly for AI/ML Engineer positions. This combination signals that employers are looking for versatile engineers who can work across multiple layers of the AI stack. Companies hiring for this pair tend to value candidates who can bridge different technical domains rather than specialize in just one.
Top Roles Requiring JAX + PyTorch
AI/ML Engineer39 jobs
Data Scientist10 jobs
Research Engineer6 jobs
Research Scientist3 jobs
Prompt Engineer2 jobs
LLM Engineer2 jobs
Career Impact
Professionals who combine JAX and PyTorch earn a median salary ceiling of
$250K, compared to $246K for JAX alone and
$228K for PyTorch alone. This 6% premium
reflects the market values the integration of these two skills — employers pay more for candidates who can work across both rather than hiring separate specialists.
Based on our analysis of current AI job postings, 64 positions require both JAX and PyTorch skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both JAX and PyTorch pay an average of $168K to $250K based on 54 postings with disclosed compensation.
Jobs requiring both JAX and PyTorch pay $250K on average (max), compared to $246K for JAX alone and $228K for PyTorch alone. That represents a 6% premium for having both skills.
The most common roles requiring both JAX and PyTorch are: AI/ML Engineer, Data Scientist, Research Engineer, Research Scientist. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 1,969 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of March 2026. Salary figures represent posted compensation ranges and may not include equity, bonuses, or other benefits.
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Methodology
Skill co-occurrence data is derived from 64 job postings that list both JAX and PyTorch
as required or preferred skills. Salary data includes only postings with disclosed compensation ranges.
Data is updated weekly from major job boards and company career pages.
