Machine Learning Engineer
Core
Building scalable ML infrastructure and workflows for training, deployment, and fleet management of advanced AI capabilities in robotic systems.
Role type
Senior IC machine learning infrastructure engineer (robotics/AI platform)
Builds
Scalable ML platforms, containerized training environments, automated data pipelines, and deployment workflows for robotics AI systems
Domain
Robotics, Artificial Intelligence, Cloud Infrastructure
Deliverable
infrastructure
Required skills
Python, cloud platform expertise, distributed training, containerization, infrastructure-as-code, experiment tracking, CI/CD integration
Preferred skills
MLOps for robotics, Kubeflow, SkyPilot, ONNX, TensorRT, MLflow, event-driven architectures, GPU orchestration, sim-to-real workflows
Technologies
Python, Docker, GCP, Terraform, Kubeflow, SkyPilot, ONNX, TensorRT, MLflow
Responsibilities
Build and maintain scalable ML infrastructure, develop containerized training environments, manage cloud GPU orchestration, implement experiment tracking and model registries, build automated data processing pipelines, develop model evaluation and deployment workflows, improve developer experience for ML teams, extend CI/CD with ML-specific validation, automate infrastructure provisioning
Seniority
Senior, hands-on IC