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machine learning search llm retrieval ranking📋 Description
- Be a founding MLE, own parts of retrieval or ranking, contribute across the stack.
- Design, build, and deploy hybrid search systems for domain search.
- Lead retrieval or ranking strategy, including index design and query parsing.
- Lead embedding model selection and evaluation for semantic retrieval and ranking.
- Collaborate with engineers, data scientists, and product managers to translate ideas into technical plans.
🎯 Requirements
- 7+ years in ML engineering, with 2+ years in search/retrieval/ranking.
- Experience building production search or ranking systems end-to-end.
- Depth in two or more: retrieval, ranking, or embeddings; LLM integration a plus.
- Comfort owning strategy to shape roadmap with high-quality technical solutions.
- Strong architectural judgment; communicate decisions clearly to all stakeholders.
- Proven ability deploying ML systems at scale under high traffic.
🎁 Benefits
- Medical plans with option for 100% covered premiums
- Fertility and adoption benefits
- Headspace mindfulness app subscription
- Global Employee Assistance Program
- Retirement benefits with employer match
- Flexible paid time off and 12 weeks parental leave
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