Gemini and Pytorch frequently appear together in AI job postings, with 159 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $229K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Gemini and Pytorch appear together in 159 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 Gemini + Pytorch
AI/ML Engineer145 jobs
Data Scientist7 jobs
AI Software Engineer3 jobs
Research Scientist2 jobs
AI Consultant1 jobs
AI Architect1 jobs
Career Impact
Professionals who combine Gemini and Pytorch earn a median salary ceiling of
$229K, compared to $216K for Gemini alone and
$222K for Pytorch alone. This 4% premium
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, 159 positions require both Gemini and Pytorch skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Gemini and Pytorch pay an average of $119K to $229K based on 133 postings with disclosed compensation.
Jobs requiring both Gemini and Pytorch pay $229K on average (max), compared to $216K for Gemini alone and $222K for Pytorch alone. That represents a 4% premium for having both skills.
The most common roles requiring both Gemini and Pytorch 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 159 job postings that list both Gemini 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.