Senior ML / AI Engineer

Role details

ABOUT THE ROLE Join a small, senior engineering team building the machine learning foundation for consumer software products. You will shape data pipelines, models, retrieval systems, and inference infrastructure that make AI-powered experiences useful and intuitive for everyday users. 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 large volumes of user data. - Build scalable infrastructure for real-time and batch inference. - Guide model selection, fine-tuning, embeddings, retrieval-augmented generation, and evaluation frameworks. - Prototype product ideas and turn successful experiments into reliable systems. - Partner with product, design, and engineering to deliver polished user-facing features. - Establish strong practices for system quality, measurement, and failure analysis. WHAT WE'RE LOOKING FOR - At least 5 years of software or machine learning engineering experience, with a background in consumer AI or machine learning systems. - Experience shipping machine learning features to real users, such as personalization, ranking, search, or recommendations. - Experience developing custom models, including embeddings, recommendation, or personalization models, beyond prompt-based integrations alone. - Strong experience with applied machine learning, LLMs, retrieval, classification, NLP, or related product systems. - Familiarity with Python, FastAPI, PostgreSQL, vector databases, and embeddings. - Experience with data pipelines, training and evaluation workflows, inference infrastructure, and end-to-end product development. - A degree in computer science, mathematics, electrical engineering, or a related field, or comparable technical background. - Comfort working in an early-stage or entrepreneurial environment and collaborating across product and design. COMPENSATION & BENEFITS Base salary: $200,000 to $300,000 annually. Visa sponsorship is available. LOCATION On-site in San Francisco, California, United States.