ML / AI Engineer

About the Role

Join a small, senior engineering team building the ML foundation for consumer products. You will create data pipelines, models, retrieval systems, and inference infrastructure that power useful, intuitive AI experiences.

What You'll Do

• Architect and build machine learning and retrieval systems for core product experiences.

• Design data pipelines that 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 measures.

• Prototype AI-powered product ideas, then strengthen successful approaches for production.

• Work with product, design, and engineering to turn consumer needs into polished ML features.

• Help establish strong ML practices across the team, including attention to system quality and failure modes.

What We're Looking For

• At least 5 years of software or machine learning engineering experience in consumer AI or ML systems.

• Experience building and shipping ML-powered consumer features from concept to real users, such as personalization, ranking, search, or recommendations.

• Strong applied ML experience, including developing custom models such as embedding, recommendation, or personalization models.

• Practical experience with LLMs, embeddings, RAG, classification, NLP, ranking, or retrieval systems.

• Experience with Python, FastAPI, PostgreSQL, vector databases, and ML data pipelines or inference infrastructure.

• A degree in computer science, mathematics, electrical engineering, or a related field.

• Product judgment, end-to-end ownership, and comfort working in an early-stage or entrepreneurial environment.

Compensation & Benefits

Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.

Location

On-site in San Francisco, California, United States.