Pytorch and Rlhf frequently appear together in AI job postings, with 32 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $231K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Pytorch and Rlhf appear together in 32 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 + Rlhf
AI/ML Engineer24 jobs
Data Scientist3 jobs
Research Engineer2 jobs
LLM Engineer2 jobs
Research Scientist1 jobs
Career Impact
Professionals who combine Pytorch and Rlhf earn a median salary ceiling of
$231K, compared to $222K for Pytorch alone and
$267K for Rlhf alone. This 5% discount
reflects roles requiring both skills tend to be more common mid-level positions, while single-skill roles may skew toward senior or specialized positions with higher pay ceilings.
Based on our analysis of current AI job postings, 32 positions require both Pytorch and Rlhf skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Pytorch and Rlhf pay an average of $163K to $231K based on 15 postings with disclosed compensation.
Jobs requiring both Pytorch and Rlhf pay $231K on average (max), compared to $222K for Pytorch alone and $267K for Rlhf alone. That represents a 5% discount for having both skills.
The most common roles requiring both Pytorch and Rlhf are: AI/ML Engineer, Data Scientist, Research Engineer, LLM Engineer. 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 32 job postings that list both Pytorch and Rlhf
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.
