San FranciscoFull TimeEngineering
Remotely
elasticsearchopensearchvector databasesfaissbm25hnswdense embeddingstf idf
Job Description
📋 Description
- Own the architecture of Mercor's code search and retrieval systems end to end—hybrid retrieval
- Solve the hard problem of identifying similar code tasks—retrieval that captures code structure
- Build the system that identifies and selects the correct code-specific models for a given task, and
- Design natural-language-to-query translation that turns NLP questions into precise search over code
- Design and operate the indexing pipeline so the task index stays fresh and consistent as new tasks
🎯 Requirements
- 8+ years of professional software engineering experience, including 3+ years operating at a Senior
- Deep, hands-on expertise building search and retrieval systems: dense-embedding retrieval, lexical
- Strong understanding of the search algorithms and index internals—vector/ANN indices (e.g. HNSW
- A track record of making the right cost-vs-speed tradeoffs: latency budgets, throughput, memory
- Familiarity translating natural-language questions into structured search queries (query
- Excellent systems fundamentals: distributed systems, data modeling, and API design at scale.
🎁 Benefits
- Generous equity grant vested over 4 years
- Up to $15K relocation bonus (if moving to the Bay Area)
- A $10K housing bonus (if you live within 0.5 miles of our office)
- A $1.5K monthly stipend for meals
- Free Equinox membership
- Health insurance
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