Keras and PyTorch frequently appear together in AI job postings, with 30 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $189K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Keras and PyTorch appear together in 30 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 Engineer17 jobs
Data Scientist10 jobs
RAG Engineer1 jobs
AI Engineering Manager1 jobs
Research Scientist1 jobs
Career Impact
Professionals who combine Keras and PyTorch earn a median salary ceiling of
$189K, compared to $202K for Keras alone and
$228K for PyTorch alone. This 12% discount
reflects roles requiring both skills tend to be more common mid-level positions, while single-skill roles may skew toward senior or specialized positions with higher pay ceilings.
Based on our analysis of current AI job postings, 30 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 $133K to $189K based on 24 postings with disclosed compensation.
Jobs requiring both Keras and PyTorch pay $189K on average (max), compared to $202K for Keras alone and $228K for PyTorch alone. That represents a 12% discount for having both skills.
The most common roles requiring both Keras and PyTorch are: AI/ML Engineer, Data Scientist, RAG Engineer, AI Engineering Manager. 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 30 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.
