ML / AI Engineer

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 infrastructure. - Strong CS, mathematics, EECS, or related academic background, or equivalent fundamentals. - Consumer product experience and an end-to-end approach to building useful, polished ML features; startup or early-stage experience is valued. COMPENSATION & BENEFITS Base salary: $200,000 to $300,000 USD annually. Visa sponsorship is available. LOCATION On-site in San Francisco, California, United States.