Lead Machine Learning Research Engineer
Core
Lead ML Research Engineer bridging deep model research and production ecosystem, translating research findings into engineering work and production observations into experimental probes.
Role type
Senior IC machine learning research engineer
Builds
Federated and non-retentive AI infrastructure with novel model topology
Domain
AI infrastructure, federated learning, edge ML
Deliverable
production ML models
Required skills
End-to-end ML system ownership, federated or edge ML systems, evaluation and orchestration, simulation-based testing, compiler-style configuration systems, PyTorch, modern serving infrastructure, Rust, React
Preferred skills
Privacy-preserving ML (differential privacy, federated averaging, secure aggregation), on-device inference at scale, evaluating modern models under realistic constraints, open-source contributions to evaluation harnesses
Responsibilities
Translate research findings into engineering work, convert regressions into research questions, integrate production observations into experimental probes, own multi-surface engineering programmes
Seniority
Senior, hands-on IC with mentorship potential
