Embeddings and Faiss 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 $175K on average. Below you'll find detailed salary data, hiring companies, and related skill combinations.
Embeddings and Faiss 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 Embeddings + Faiss
AI/ML Engineer10 jobs
AI Software Engineer3 jobs
LLM Engineer1 jobs
Data Scientist1 jobs
AI Architect1 jobs
Career Impact
Professionals who combine Embeddings and Faiss earn a median salary ceiling of
$175K, compared to $200K for Embeddings alone and
$192K for Faiss alone. This 11% 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 Embeddings and Faiss skills. The most common role for this combination is AI/ML Engineer.
Jobs requiring both Embeddings and Faiss pay an average of $120K to $175K based on 9 postings with disclosed compensation.
Jobs requiring both Embeddings and Faiss pay $175K on average (max), compared to $200K for Embeddings alone and $192K for Faiss alone. That represents a 11% discount for having both skills.
The most common roles requiring both Embeddings and Faiss are: AI/ML Engineer, AI Software Engineer, LLM Engineer, Data Scientist. 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 Embeddings and Faiss
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.
