Keras and Pytorch frequently appear together in AI job postings, with 165 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $230K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Keras and Pytorch appear together in 165 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 Keras + Pytorch
AI/ML Engineer146 jobs
AI Software Engineer6 jobs
Data Scientist5 jobs
Research Scientist3 jobs
AI Product Manager2 jobs
AI Architect1 jobs
Career Impact
Professionals who combine Keras and Pytorch earn a median salary ceiling of
$230K, compared to $231K for Keras alone and
$222K for Pytorch alone. This 1% premium
reflects the salary ceiling is roughly equivalent whether you specialize in one skill or combine both, suggesting the market values either path equally.
Based on our analysis of current AI job postings, 165 positions require both Keras and Pytorch skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Keras and Pytorch pay an average of $122K to $230K based on 145 postings with disclosed compensation.
Jobs requiring both Keras and Pytorch pay $230K on average (max), compared to $231K for Keras alone and $222K for Pytorch alone. That represents a 1% premium for having both skills.
The most common roles requiring both Keras and Pytorch are: AI/ML Engineer, AI Software Engineer, Data Scientist, Research Scientist. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 26,159 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of April 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 165 job postings that list both Keras 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.
