PyTorch + SageMaker Jobs in 2026

PyTorch and SageMaker frequently appear together in AI job postings, with 45 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $207K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

45
Job Count
$139K
Avg Min Salary
$207K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why PyTorch + SageMaker?

PyTorch and SageMaker appear together in 45 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 + SageMaker

AI/ML Engineer 20 jobs
Data Scientist 13 jobs
MLOps Engineer 4 jobs
RAG Engineer 2 jobs
AI Software Engineer 2 jobs
AI Engineering Manager 1 jobs

Career Impact

Professionals who combine PyTorch and SageMaker earn a median salary ceiling of $207K, compared to $228K for PyTorch alone and $201K for SageMaker alone. This 4% discount reflects the salary ceiling is roughly equivalent whether you specialize in one skill or combine both, suggesting the market values either path equally.

Top Companies Hiring for PyTorch + SageMaker

Salary Comparison: Combo vs Individual Skills

PyTorch Only
$228K
360 jobs
-9% vs combo
PyTorch + SageMaker
$207K
45 jobs
SageMaker Only
$201K
135 jobs
+3% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 45 positions require both PyTorch and SageMaker skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both PyTorch and SageMaker pay an average of $139K to $207K based on 36 postings with disclosed compensation.
Jobs requiring both PyTorch and SageMaker pay $207K on average (max), compared to $228K for PyTorch alone and $201K for SageMaker alone. That represents a 4% discount for having both skills.
The most common roles requiring both PyTorch and SageMaker are: AI/ML Engineer, Data Scientist, MLOps Engineer, RAG 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 45 job postings that list both PyTorch and SageMaker 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.