GCP and PyTorch frequently appear together in AI job postings, with 99 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $217K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
GCP and PyTorch appear together in 99 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 Engineer68 jobs
MLOps Engineer6 jobs
Data Scientist5 jobs
AI Software Engineer5 jobs
LLM Engineer4 jobs
Prompt Engineer4 jobs
Career Impact
Professionals who combine GCP and PyTorch earn a median salary ceiling of
$217K, compared to $230K for GCP alone and
$228K for PyTorch alone. This 5% 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, 99 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 $154K to $217K based on 73 postings with disclosed compensation.
Jobs requiring both GCP and PyTorch pay $217K on average (max), compared to $230K for GCP alone and $228K for PyTorch alone. That represents a 5% discount for having both skills.
The most common roles requiring both GCP and PyTorch are: AI/ML Engineer, MLOps Engineer, Data Scientist, AI Software Engineer. 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 99 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.
