Jax and Tensorflow frequently appear together in AI job postings, with 42 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $237K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Jax and Tensorflow appear together in 42 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 + Tensorflow
AI/ML Engineer30 jobs
AI Software Engineer5 jobs
Research Engineer4 jobs
Research Scientist2 jobs
Data Scientist1 jobs
Career Impact
Professionals who combine Jax and Tensorflow earn a median salary ceiling of
$237K, compared to $232K for Jax alone and
$213K for Tensorflow alone. This 7% 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, 42 positions require both Jax and Tensorflow skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Jax and Tensorflow pay an average of $155K to $237K based on 36 postings with disclosed compensation.
Jobs requiring both Jax and Tensorflow pay $237K on average (max), compared to $232K for Jax alone and $213K for Tensorflow alone. That represents a 7% premium for having both skills.
The most common roles requiring both Jax and Tensorflow are: AI/ML Engineer, AI Software Engineer, Research Engineer, Research Scientist. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 3,708 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of July 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 42 job postings that list both Jax and Tensorflow
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.
