Gcp and Pytorch frequently appear together in AI job postings, with 494 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $218K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Gcp and Pytorch appear together in 494 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 Gcp + Pytorch
AI/ML Engineer402 jobs
Data Scientist33 jobs
AI Software Engineer33 jobs
AI Architect13 jobs
MLOps Engineer5 jobs
Research Scientist2 jobs
Career Impact
Professionals who combine Gcp and Pytorch earn a median salary ceiling of
$218K, compared to $231K for Gcp alone and
$222K for Pytorch 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, 494 positions require both Gcp and Pytorch skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Gcp and Pytorch pay an average of $134K to $218K based on 355 postings with disclosed compensation.
Jobs requiring both Gcp and Pytorch pay $218K on average (max), compared to $231K for Gcp alone and $222K for Pytorch alone. That represents a 4% discount for having both skills.
The most common roles requiring both Gcp and Pytorch are: AI/ML Engineer, Data Scientist, AI Software Engineer, AI Architect. 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 494 job postings that list both Gcp 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.
