Pytorch and Tableau frequently appear together in AI job postings, with 36 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $199K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Pytorch and Tableau appear together in 36 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 + Tableau
AI/ML Engineer19 jobs
Data Scientist16 jobs
Data Engineer1 jobs
Career Impact
Professionals who combine Pytorch and Tableau earn a median salary ceiling of
$199K, compared to $222K for Pytorch alone and
$188K for Tableau 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, 36 positions require both Pytorch and Tableau skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Pytorch and Tableau pay an average of $96K to $199K based on 26 postings with disclosed compensation.
Jobs requiring both Pytorch and Tableau pay $199K on average (max), compared to $222K for Pytorch alone and $188K for Tableau alone. That represents a 3% discount for having both skills.
The most common roles requiring both Pytorch and Tableau are: AI/ML Engineer, Data Scientist, Data 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 36 job postings that list both Pytorch and Tableau
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.
