ML / AI Engineer

This is a founding-team ML / AI Engineer position at a consumer SaaS startup, where you will architect and build the intelligent systems that power core product experiences. You will own the full stack from data pipelines to user-facing AI features, working closely with product and design to make complex ML feel intuitive and magical. What You’ll Do

• Architect and build ML and retrieval systems that power the core product experience.
• Design and evolve data pipelines that ingest, classify, enrich, and summarize large volumes of user data.
• Build scalable inference infrastructure for both real-time and batch workloads.
• Lead model selection, fine-tuning, embeddings, RAG pipelines, evaluation frameworks, and quality measurement.
• Prototype quickly to explore new ML-powered product ideas, then harden and ship what works.
• Apply product judgment to make complex AI systems feel simple and delightful to end users.
• Collaborate with product, design, and engineering to create features that feel alive and deeply useful.
• Lay the groundwork for ML excellence inside a small, senior team.

• 3+ years in ML / AI roles building and shipping ML-powered features such as personalization, ranking, search, or recommendations at consumer product or AI companies.
• Demonstrated experience taking ML-powered product features from 0 to 1 with tangible, user-facing results.
• Hands-on custom ML model development with embeddings, recommendation systems, or personalization models (not limited to LLM prompting or wrappers).
• Experience with data pipelines, vector databases, RAG, and semantic search infrastructure.
• Familiarity with inference infrastructure and deployment in production environments.
• Strong CS, Math, EECS, or equivalent technical foundation.
• Background at a consumer product company or a leading AI company, ideally with early-stage startup experience.
• Ability to work backwards from user experience to determine what ML system to build.
• Comfort with ambiguity, fast iteration, and end-to-end ownership on a small, high-trust team.
• Proficiency with Python; experience with FastAPI, PostgreSQL, and vector databases is a strong plus.