Machine Learning Engineer
Core
Building tools and infrastructure to train, evaluate, and deploy interpretable AI systems at scale, turning research into production-ready features.
Role type
Senior Machine Learning Engineer (ML Infra & Research Engineering)
Builds
Interpretability tooling, training infrastructure for large runs, and product features for understanding AI models.
Domain
Artificial Intelligence / Machine Learning Interpretability
Deliverable
production ML models | product features | infrastructure
Required skills
Python, PyTorch or Jax, distributed systems, ML system deployment at scale, systems programming
Preferred skills
Open-source ML infra contributions, startup or frontier lab experience
Technologies
Python, PyTorch, Jax
Responsibilities
Turn cutting edge interpretability research into production ready tools; Optimize pipelines and infrastructure for frontier model interpretability, training, and inference; Integrate new machine learning workflows and pipelines into product and deploy to customers; Ensure system reliability, reproducibility, and performance.
Seniority
Senior, hands-on IC
