Multimodal and PyTorch frequently appear together in AI job postings, with 43 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $242K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Multimodal and PyTorch appear together in 43 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 Multimodal + PyTorch
AI/ML Engineer28 jobs
Research Engineer7 jobs
Prompt Engineer3 jobs
Research Scientist2 jobs
Data Scientist1 jobs
RAG Engineer1 jobs
Career Impact
Professionals who combine Multimodal and PyTorch earn a median salary ceiling of
$242K, compared to $244K for Multimodal alone and
$228K for PyTorch alone. This 2% 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, 43 positions require both Multimodal and PyTorch skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Multimodal and PyTorch pay an average of $149K to $242K based on 31 postings with disclosed compensation.
Jobs requiring both Multimodal and PyTorch pay $242K on average (max), compared to $244K for Multimodal alone and $228K for PyTorch alone. That represents a 2% premium for having both skills.
The most common roles requiring both Multimodal and PyTorch are: AI/ML Engineer, Research Engineer, Prompt Engineer, Research Scientist. 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 43 job postings that list both Multimodal 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.
