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.