Senior Manager, Learning from Demonstration

Required

• 5+ years of software engineering experience, with at least 2+ years working on ML infrastructure, data platforms or MLOps systems in production environments.
• Experience building and maintaining components of modern ML platforms—such as experiment tracking, model registries, training pipelines, or deployment systems
• Familiarity with orchestration and tracking tools (MLflow, WandB, Airflow, Kubeflow, etc.)
• Proficiency with cloud-native platforms (AWS, GCP, or Azure), containers, and IaC (e.g., CDK, Terraform)
• Hands-on experience with processing or modeling multimodal data(sensor logs, camera streams, behaviour traces etc).
• Comfortable collaborating cross-functionally with research scientists, data engineers, and robotics/autonomy teams to ship infrastructure used by others
• Bonus Qualifications
• Experience with robotics, autonomous vehicles, drones or embedded ML.
• Contributions to open-source ML infrastructure or MLOps tooling a plus.
• Build from the start Join at a pivotal moment - help shape the ML platform layer as its being defined, not inherited.
• High impact: Your work will directly enable faster, safer, and more intelligent robotic behaviors at scale
• Technical Frontier: You will work directly on enabling the next frontier of AI in real production settings