PyTorch and TensorFlow frequently appear together in AI job postings, with 251 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $222K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
PyTorch and TensorFlow appear together in 251 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 PyTorch + TensorFlow
AI/ML Engineer171 jobs
Data Scientist25 jobs
MLOps Engineer14 jobs
Research Scientist12 jobs
Prompt Engineer7 jobs
LLM Engineer6 jobs
Career Impact
Professionals who combine PyTorch and TensorFlow earn a median salary ceiling of
$222K, compared to $228K for PyTorch alone and
$233K for TensorFlow alone. This 4% discount
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, 251 positions require both PyTorch and TensorFlow skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both PyTorch and TensorFlow pay an average of $149K to $222K based on 187 postings with disclosed compensation.
Jobs requiring both PyTorch and TensorFlow pay $222K on average (max), compared to $228K for PyTorch alone and $233K for TensorFlow alone. That represents a 4% discount for having both skills.
The most common roles requiring both PyTorch and TensorFlow are: AI/ML Engineer, Data Scientist, MLOps 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 251 job postings that list both PyTorch 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.
