Senior ML Platform Engineer – Infra & MLOps

Industrial Innovation Fund; California (PA); Hybrid; USD 197.000 - 307.000; Vollzeit

Benefits dieser Stelle

Remote-friendly

Equity

Medical/dental/vision

Well-being program

Relocation assistance

Flexible work arrangements

Zusammenfassung

Agility Robotics in the United States is seeking a senior ML Infrastructure Engineer to build the machine learning platform powering fleet-scale humanoid robotics. You will architect data collection, training, evaluation, and model management to support perception, controls, and autonomy teams.

You will own APIs/CLI, enable CI/CD for ML, and mentor engineers while collaborating with researchers and robotics teams to deploy models in production.

Qualifikationen

• 5+ years of software engineering experience, with at least 2+ years working on ML infrastructure, data platforms or MLOps in production.
• Experience building ML platform components: experiment tracking, model registries, training pipelines, deployment systems.
• Familiarity with orchestration/tracking tools (MLflow, WandB, Airflow, Kubeflow, etc.).
• Proficiency with cloud-native platforms (AWS, GCP, or Azure), containers and IaC (CDK, Terraform).
• Hands-on experience with processing or modeling multimodal data (sensor logs, camera streams, behavior traces).

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 infrastructure like model registry, feature store and experiment tracking tooling.
• Own developer-facing APIs and CLI tools for ML workflows.
• Implement CI/CD for ML enabling retraining and production model delivery.
• Collaborate with researchers and data engineers to integrate ML orchestration with data pipelines.

Kenntnisse

Software engineering

ML infrastructure

Cloud platforms

Kubernetes

IaC

Tools

MLflow

WandB

Airflow

Kubeflow

Jobbeschreibung

Agility Robotics in the United States is seeking a senior ML Infrastructure Engineer to build the machine learning platform powering fleet-scale humanoid robotics. You will architect data collection, training, evaluation, and model management to support perception, controls, and autonomy teams.

You will own APIs/CLI, enable CI/CD for ML, and mentor engineers while collaborating with researchers and robotics teams to deploy models in production.