ML / AI Engineer

Role details

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.