EngineeringRemoteFull-time
Machine Learning Engineer
You'll design, train, and productionize models for client products — retrieval pipelines, ranking, and the unglamorous evaluation harness that makes the demo survive contact with real users.
What you'll bring
- 3+ years shipping ML systems past the notebook
- Python, PyTorch or similar, and a retrieval stack you've operated
- Clear written communication with non-ML stakeholders
Nice to have
- RAG in production
- SageMaker or Vertex
- Eval-driven development