ML · retrieval systems
ABOUT THE ROLE
Join a small, senior engineering team building the ML systems behind consumer-facing products. You will shape the data pipelines, models, retrieval systems, and inference infrastructure that make intelligent product features useful and intuitive.
WHAT YOU'LL DO
- Architect and build machine learning and retrieval systems for core product experiences.
- Design data pipelines to ingest, classify, enrich, and summarize user data.
- Develop scalable inference infrastructure for real-time and batch workloads.
- Guide model selection, fine-tuning, embeddings, RAG pipelines, evaluation frameworks, and quality measurements.
- Prototype new ML-powered product ideas and strengthen successful approaches for production.
- Collaborate with product, design, and engineering to deliver polished user-facing features.
- Establish strong practices for ML development and system quality across the team.
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 features from early development to real users, such as personalization, ranking, search, or recommendations.
- Background working from consumer needs to determine and build the right ML capabilities.
- Hands-on experience developing custom models, including embeddings, recommendation, or personalization models.
- Knowledge of LLMs, RAG, classification, NLP, retrieval systems, data pipelines, and inference infrastructure.
- Experience with Python, FastAPI, PostgreSQL, vector databa