Docker + Embeddings Jobs in 2026

Docker and Embeddings frequently appear together in AI job postings, with 51 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $196K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.

51
Job Count
$129K
Avg Min Salary
$196K
Avg Max Salary
AI/ML Engineer
Most Common Role

Why Docker + Embeddings?

Docker and Embeddings appear together in 51 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 Docker + Embeddings

AI/ML Engineer 45 jobs
AI Software Engineer 3 jobs
Data Scientist 2 jobs
Research Engineer 1 jobs

Career Impact

Professionals who combine Docker and Embeddings earn a median salary ceiling of $196K, compared to $212K for Docker alone and $208K for Embeddings alone. This 7% 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.

Top Companies Hiring for Docker + Embeddings

Salary Comparison: Combo vs Individual Skills

Docker Only
$212K
675 jobs
-8% vs combo
Docker + Embeddings
$196K
51 jobs
Embeddings Only
$208K
221 jobs
-6% vs combo

Frequently Asked Questions

Based on our analysis of current AI job postings, 51 positions require both Docker and Embeddings skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Docker and Embeddings pay an average of $129K to $196K based on 29 postings with disclosed compensation.
Jobs requiring both Docker and Embeddings pay $196K on average (max), compared to $212K for Docker alone and $208K for Embeddings alone. That represents a 7% discount for having both skills.
The most common roles requiring both Docker and Embeddings are: AI/ML Engineer, AI Software Engineer, Data Scientist, Research Engineer. These positions typically involve building production AI systems that leverage both technologies.
Data Source: Analysis based on 16,778 AI job postings collected and verified by AI Market Pulse. Data reflects active job listings as of February 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 51 job postings that list both Docker and Embeddings 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.