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.