Staff Machine Learning Engineer - Ops
Core
Ensuring model quality and safety by setting release gates, validating training phases, and streamlining ML delivery pipelines for autonomous driving models.
Role type
Staff Machine Learning Engineer (Ops/Release)
Builds
Production-ready ML models and reliable evaluation methodologies for on-road autonomous driving
Domain
Autonomous driving / MLOps
Deliverable
production ML models
Required skills
ML Ops, model registry, ML lifecycle management, deep ML training expertise, ML code infrastructure, CI/CD, PyTorch, TensorRT, quantization, model deployment, GitHub Actions
Preferred skills
Grafana monitoring, production observability
Responsibilities
Review release content (model/metric changes, evaluation results) to confirm quality and safety standards; Identify bottlenecks in the ML delivery pipeline and drive fixes; Collaborate with AI Platform teams to define and build checks/automation; Collaborate with CI/CD teams to adapt workflows and streamline model delivery; Collaborate with evaluation teams to ensure reliable methods and drive new evaluation methodologies; Stay up to date with MLOps practices and bring improvements into the workflow
Seniority
Staff, high-trust strategic oversight with hands-on technical depth
