Docker and PyTorch frequently appear together in AI job postings, with 74 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $208K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Docker and PyTorch appear together in 74 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 Docker + PyTorch
AI/ML Engineer43 jobs
Data Scientist7 jobs
MLOps Engineer5 jobs
AI Software Engineer5 jobs
AI Architect3 jobs
Data Engineer3 jobs
Career Impact
Professionals who combine Docker and PyTorch earn a median salary ceiling of
$208K, compared to $215K for Docker alone and
$228K for PyTorch alone. This 6% 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, 74 positions require both Docker and PyTorch skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Docker and PyTorch pay an average of $141K to $208K based on 57 postings with disclosed compensation.
Jobs requiring both Docker and PyTorch pay $208K on average (max), compared to $215K for Docker alone and $228K for PyTorch alone. That represents a 6% discount for having both skills.
The most common roles requiring both Docker and PyTorch are: AI/ML Engineer, Data Scientist, MLOps Engineer, 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 74 job postings that list both Docker 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.
