Rlhf and Tensorflow frequently appear together in AI job postings, with 16 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $286K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Rlhf and Tensorflow appear together in 16 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 Rlhf + Tensorflow
AI/ML Engineer10 jobs
Research Engineer3 jobs
Research Scientist2 jobs
Data Scientist1 jobs
Career Impact
Professionals who combine Rlhf and Tensorflow earn a median salary ceiling of
$286K, compared to $295K for Rlhf alone and
$236K for Tensorflow alone. This 8% premium
reflects the market values the integration of these two skills. Employers pay more for candidates who can work across both rather than hiring separate specialists.
Based on our analysis of current AI job postings, 16 positions require both Rlhf and Tensorflow skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Rlhf and Tensorflow pay an average of $186K to $286K based on 12 postings with disclosed compensation.
Jobs requiring both Rlhf and Tensorflow pay $286K on average (max), compared to $295K for Rlhf alone and $236K for Tensorflow alone. That represents a 8% premium for having both skills.
The most common roles requiring both Rlhf and Tensorflow are: AI/ML Engineer, Research Engineer, Research Scientist, Data Scientist. These positions typically involve building production AI systems that use both technologies.
Data Source: Analysis based on 4,075 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 16 job postings that list both Rlhf and Tensorflow
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.
