Pgvector and Pytorch frequently appear together in AI job postings, with 15 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $200K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Pgvector and Pytorch appear together in 15 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 Pgvector + Pytorch
AI/ML Engineer11 jobs
AI Consultant1 jobs
Data Scientist1 jobs
MLOps Engineer1 jobs
AI Architect1 jobs
Career Impact
Professionals who combine Pgvector and Pytorch earn a median salary ceiling of
$200K, compared to $196K for Pgvector 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, 15 positions require both Pgvector and Pytorch skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Pgvector and Pytorch pay an average of $134K to $200K based on 9 postings with disclosed compensation.
Jobs requiring both Pgvector and Pytorch pay $200K on average (max), compared to $196K for Pgvector alone and $222K for Pytorch alone. That represents a 4% discount for having both skills.
The most common roles requiring both Pgvector and Pytorch are: AI/ML Engineer, AI Consultant, Data Scientist, MLOps Engineer. 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 15 job postings that list both Pgvector 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.
