Pytorch and Transformers frequently appear together in AI job postings, with 168 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $211K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Pytorch and Transformers appear together in 168 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 + Transformers
AI/ML Engineer121 jobs
Data Scientist20 jobs
AI Software Engineer15 jobs
Research Scientist3 jobs
AI Engineering Manager3 jobs
Research Engineer2 jobs
Career Impact
Professionals who combine Pytorch and Transformers earn a median salary ceiling of
$211K, compared to $222K for Pytorch alone and
$207K for Transformers alone. This 2% 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, 168 positions require both Pytorch and Transformers skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Pytorch and Transformers pay an average of $142K to $211K based on 123 postings with disclosed compensation.
Jobs requiring both Pytorch and Transformers pay $211K on average (max), compared to $222K for Pytorch alone and $207K for Transformers alone. That represents a 2% discount for having both skills.
The most common roles requiring both Pytorch and Transformers are: AI/ML Engineer, Data Scientist, AI Software Engineer, 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 168 job postings that list both Pytorch and Transformers
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.
