Pytorch and Semantic Kernel frequently appear together in AI job postings, with 31 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $204K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Pytorch and Semantic Kernel appear together in 31 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 + Semantic Kernel
AI/ML Engineer19 jobs
AI Software Engineer10 jobs
Data Scientist1 jobs
AI Architect1 jobs
Career Impact
Professionals who combine Pytorch and Semantic Kernel earn a median salary ceiling of
$204K, compared to $222K for Pytorch alone and
$191K for Semantic Kernel alone. This 1% discount
reflects the salary ceiling is roughly equivalent whether you specialize in one skill or combine both, suggesting the market values either path equally.
Top Companies Hiring for Pytorch + Semantic Kernel
Based on our analysis of current AI job postings, 31 positions require both Pytorch and Semantic Kernel skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Pytorch and Semantic Kernel pay an average of $150K to $204K based on 20 postings with disclosed compensation.
Jobs requiring both Pytorch and Semantic Kernel pay $204K on average (max), compared to $222K for Pytorch alone and $191K for Semantic Kernel alone. That represents a 1% discount for having both skills.
The most common roles requiring both Pytorch and Semantic Kernel are: AI/ML Engineer, AI Software Engineer, Data Scientist, AI Architect. 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 31 job postings that list both Pytorch and Semantic Kernel
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.
