Senior ML Platform Engineer for Robotics & MLOps (Remote)

agilityrobotics; Fremont (CA); Remote; USD 197.000 - 307.000; Vollzeit

Benefits dieser Stelle

401(k) Plan

Equity

Insurance Coverage

Benefit Start Date

Well-Being Support

Zusammenfassung

Agility Robotics is building a scalable ML infrastructure platform to power humanoid AI across perception, controls, and robotics teams. You will architect and implement end-to-end ML workflows, data processing, and model deployment at scale.

You will collaborate with researchers and engineers to define platform requirements, drive reproducibility, and deliver robust, cloud-native infrastructure for production ML workloads.

Qualifikationen

• 5+ years of software engineering experience with at least 2+ years in ML infrastructure, data platforms or MLOps in production.
• Experience building and maintaining ML platform components (experiment tracking, model registries, training pipelines, 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 (CDK, Terraform).
• Hands-on with processing or modeling multimodal data (sensor logs, camera streams, behavior traces).
• Comfortable collaborating cross-functionally with researchers, data engineers, and robotics teams to ship infrastructure.

Aufgaben

• Design and implement the ML platform for end-to-end data processing, training, evaluation and deployment.
• Develop reliable workflows across cloud compute, Kubernetes, and automation.
• Build core components like model registry, feature store, and experiment tracking tooling.
• Own developer APIs and CLI tools for reproducible ML workflows.
• Implement CI/CD for ML enabling retraining and automated model delivery to production.
• Mentor junior engineers and influence platform roadmap.

Kenntnisse

ML Infrastructure

MLOps

Cloud Platforms

Kubernetes

IaC

Data Platforms

Tools

MLflow

WandB

Airflow

Kubeflow

Terraform

Jobbeschreibung

Agility Robotics is building a scalable ML infrastructure platform to power humanoid AI across perception, controls, and robotics teams. You will architect and implement end-to-end ML workflows, data processing, and model deployment at scale.

You will collaborate with researchers and engineers to define platform requirements, drive reproducibility, and deliver robust, cloud-native infrastructure for production ML workloads.