machine learning · retrieval systems · data pipelines
ABOUT THE ROLE
Join a small, senior engineering team building the machine learning foundation for consumer products. You will create systems that make product experiences more helpful through search, personalization, enrichment, and assistant-like interactions.
WHAT YOU'LL DO
- Architect and build machine learning and retrieval systems for core product experiences.
- Develop data pipelines to ingest, classify, enrich, and summarize user data.
- Build scalable inference infrastructure for real-time and batch workloads.
- Select and fine-tune models, develop embeddings and RAG pipelines, and establish evaluation frameworks and quality metrics.
- Prototype new AI-powered features, then make successful approaches reliable and production-ready.
- Work closely with product, design, and engineering to make complex capabilities intuitive for users.
- Help establish effective machine learning practices across a small team.
WHAT WE'RE LOOKING FOR
- At least 5 years of software or machine learning engineering experience, including work on consumer AI or ML systems.
- Experience shipping ML-powered product features from concept to real users, especially in personalization, ranking, search, or recommendations.
- Experience developing custom models, such as embedding, recommendation, or personalization models, beyond prompt-based integrations.
- Hands-on knowledge of LLMs, embeddings, RAG, classification, NLP, retrieval systems, data pipelines, and evaluation methods.
- Familiarity with Python, FastAPI, PostgreSQL, vector databases, and inference infrastructu