Fine-tuning and PyTorch frequently appear together in AI job postings, with 77 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $222K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Fine-tuning and PyTorch appear together in 77 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 Fine-tuning + PyTorch
AI/ML Engineer41 jobs
Research Scientist22 jobs
Data Scientist3 jobs
Research Engineer3 jobs
LLM Engineer2 jobs
Prompt Engineer2 jobs
Career Impact
Professionals who combine Fine-tuning and PyTorch earn a median salary ceiling of
$222K, compared to $228K for Fine-tuning alone and
$228K for PyTorch alone. This 3% 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, 77 positions require both Fine-tuning and PyTorch skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Fine-tuning and PyTorch pay an average of $145K to $222K based on 50 postings with disclosed compensation.
Jobs requiring both Fine-tuning and PyTorch pay $222K on average (max), compared to $228K for Fine-tuning alone and $228K for PyTorch alone. That represents a 3% discount for having both skills.
The most common roles requiring both Fine-tuning and PyTorch are: AI/ML Engineer, Research Scientist, Data Scientist, Research 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 77 job postings that list both Fine-tuning 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.
