Live opening · Posted 7 days ago
AI Embedding Engineer
Nebulai · United States (Remote)
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At a glance
The key details from the original listing.
CompanyNebulai
LocationUnited States (Remote)
Work modeNo
Source
Linkedin
Listed7 days ago
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About the role
Description supplied by the original job listing.
Build embedding pipelines that stay useful from offline eval through live retrieval.
Through Nebulai's Humans & AI Agents Marketplace, you join teams that design, train, and serve embeddings for search, RAG, recommendations, and similarity: quality metrics, refresh cadence, and the contracts downstream models depend on.
You'll thrive here if you:
- Have built or owned embedding or representation pipelines used in production
- Care about evaluation, drift, and clear ownership of embedding contracts
- Partner with retrieval, platform, and model engineers in enterprise settings
- Prefer embeddings that stay stable as products and corpora change
Bonus if you've:
- Worked with vector indexes, ANN search, or hybrid retrieval
- Supported a CoE standardizing embeddings across AI programs
- Connected embeddings to monitoring, re-ranking, or online serving
Contract work via Nebulai's marketplace. Apply at https://nebulai.app
Work arrangement
No
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