Pinecone and Pytorch 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 $190K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Pinecone and Pytorch 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 Pinecone + Pytorch
AI/ML Engineer9 jobs
Data Scientist4 jobs
AI Architect2 jobs
AI Software Engineer1 jobs
Career Impact
Professionals who combine Pinecone and Pytorch earn a median salary ceiling of
$190K, compared to $204K for Pinecone alone and
$222K for Pytorch alone. This 10% 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, 16 positions require both Pinecone and Pytorch skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Pinecone and Pytorch pay an average of $122K to $190K based on 9 postings with disclosed compensation.
Jobs requiring both Pinecone and Pytorch pay $190K on average (max), compared to $204K for Pinecone alone and $222K for Pytorch alone. That represents a 10% discount for having both skills.
The most common roles requiring both Pinecone and Pytorch are: AI/ML Engineer, Data Scientist, AI Architect, AI Software 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 16 job postings that list both Pinecone 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.
