Embeddings and TensorFlow frequently appear together in AI job postings, with 18 current openings requiring both skills. The most common role for this combination is AI/ML Engineer. Jobs requiring both skills pay up to $185K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Embeddings and TensorFlow appear together in 18 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 Embeddings + TensorFlow
AI/ML Engineer9 jobs
Data Scientist3 jobs
MLOps Engineer2 jobs
AI Software Engineer1 jobs
AI Engineering Manager1 jobs
RAG Engineer1 jobs
Career Impact
Professionals who combine Embeddings and TensorFlow earn a median salary ceiling of
$185K, compared to $193K for Embeddings alone and
$233K for TensorFlow alone. This 13% 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, 18 positions require both Embeddings and TensorFlow skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Embeddings and TensorFlow pay an average of $128K to $185K based on 16 postings with disclosed compensation.
Jobs requiring both Embeddings and TensorFlow pay $185K on average (max), compared to $193K for Embeddings alone and $233K for TensorFlow alone. That represents a 13% discount for having both skills.
The most common roles requiring both Embeddings and TensorFlow are: AI/ML Engineer, Data Scientist, MLOps Engineer, AI Software 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 18 job postings that list both Embeddings 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.
