Senior ML Platform Engineer - Remote-Ready, High-Impact

Agility Robotics; Fremont (CA); On-site; USD 197,000 - 307,000; Full time

Benefits offered by this job

401(k) plan with company match

Equity / Stock options

Health insurance (medical, dental, 0pt

Well-being program

Paid time off

Relocation assistance

Annual discretionary bonus

Job summary

Agility Robotics in the United States is seeking a senior ML platform engineer to build and scale the ML infrastructure powering perception, controls, and robotics teams. You will own data collection and processing platforms, model registry, experiment tracking, and CI/CD for ML, collaborating with researchers and data engineers to deploy foundation models at scale.

You will mentor junior engineers and contribute to platform architecture, reliability, and governance in a remote-friendly,

Qualifications

• 5+ years of software engineering with 2+ years in ML infrastructure or MLOps.
• Experience building ML platform components (experiments, registries, pipelines, deployments).
• Familiarity with ML orchestration and tracking tools (MLflow, WandB, Airflow, Kubeflow).
• Proficiency with cloud platforms (AWS, GCP, Azure), containers, and IaC (CDK, Terraform).
• Experience processing multimodal data (sensor logs, camera streams, behavior traces).

Responsibilities

• Design and implement the ML platform for end-to-end AI workflows.
• Develop reliable workflows across cloud, Kubernetes, and automation.
• Own APIs and CLI tools for ML workflows.
• Mentor engineers and influence platform roadmap.

Skills

ML infrastructure

Cloud platforms

Kubernetes

CI/CD

IaC

Experiment tracking

Model registry

Tools

MLflow

WandB

Airflow

Kubeflow

Terraform

CDK

Job description

Agility Robotics in the United States is seeking a senior ML platform engineer to build and scale the ML infrastructure powering perception, controls, and robotics teams. You will own data collection and processing platforms, model registry, experiment tracking, and CI/CD for ML, collaborating with researchers and data engineers to deploy foundation models at scale.

You will mentor junior engineers and contribute to platform architecture, reliability, and governance in a remote-friendly,