Early-stage consumer AI startup, small team, well-funded, building from first principles.
ML / AI Engineer
You'll spend your days shipping models that actually reach users — fine-tuning pipelines, sweating latency on inference, and figuring out why a retrieval-augmented setup fails at 2am for one cohort but not another. The code you write in the morning often runs in production by evening. We're seven people, so you'll own the full stack of a feature: training data, the model, the API serving it, and the database queries it depends on.
What they're looking for
- 5+ years building production ML systems, with heavy emphasis on Python and modern serving frameworks like FastAPI
- Deep experience with retrieval architectures — you've wrestled with vector DBs, embedding strategies, and the failure modes of semantic search
- Strong database fundamentals: PostgreSQL at scale, query optimization, and schema design that won't collapse as data grows
- Comfort working without guardrails — you can scope a project, identify the riskiest assumption, and validate it with a prototype before asking for resources
- Genuine curiosity about consumer behavior; you want to understand why someone keeps using (or abandons) what you built