Pytorch and Vector Search frequently appear together in AI job postings, with 19 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $210K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Pytorch and Vector Search appear together in 19 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 + Vector Search
AI/ML Engineer15 jobs
Research Scientist3 jobs
Data Scientist1 jobs
Career Impact
Professionals who combine Pytorch and Vector Search earn a median salary ceiling of
$210K, compared to $222K for Pytorch alone and
$187K for Vector Search alone. This 3% 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, 19 positions require both Pytorch and Vector Search skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Pytorch and Vector Search pay an average of $132K to $210K based on 12 postings with disclosed compensation.
Jobs requiring both Pytorch and Vector Search pay $210K on average (max), compared to $222K for Pytorch alone and $187K for Vector Search alone. That represents a 3% premium for having both skills.
The most common roles requiring both Pytorch and Vector Search are: AI/ML Engineer, Research Scientist, Data Scientist. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 3,708 AI job postings collected and verified by AI Pulse. Data reflects active job listings as of July 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 19 job postings that list both Pytorch and Vector Search
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.
