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Agility Robotics Logo

Staff Machine Learning Engineer (A&P/Infrastructure/Data Platform)

Agility Robotics

Salary not specified
Sep 3, 2025
Remote, US
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Agility Robotics is looking to build the foundational infrastructure for AI and machine learning operations to power fleet-scale humanoid robotics, enabling perception, planning, and autonomy teams to develop and operationalize machine learning at scale.

Requirements

  • 8+ years of software engineering experience or ML infrastructure experience with a demonstrated track record of building data platforms and MLOps pipelines.
  • Expertise in modern data platform technologies.
  • Significant experience with ML frameworks and orchestration tools (MLflow, WandB, Airflow, Kubeflow, etc.)
  • Strong proficiency with cloud-native tooling (AWS, GCP, or Azure), containers, and IaC (e.g., CDK, Terraform)
  • Experience working cross-functionally with ML, data, and platform teams.
  • Experience with robotics, autonomous vehicles, drones or embedded ML.

Responsibilities

  • You will define a long-term vision for ML infra aligning it with company goals and industry best practices
  • You will deliver a road map for the development of a level 2 MLOps platform after consulting with AI researchers on our innovation team, perception engineers and other stakeholders in the robotics organization.
  • You will partner with data platform engineers to set up and integrate ML workflow orchestration and tracking systems with existing data platform tooling.
  • You will design and implement our ML development environment including a secure, scalable workspace for interactive experimentation(JupyterHub etc)
  • Develop core infrastructure including a model registry, feature store and experiment tracking tooling.
  • Define the CI/CD lifecycle for ML that enable continuous retraining, automated testing, and seamless model delivery to production environments
  • Drive adoption of MLOps best practices: reproducibility, lineage, rollback, monitoring and governance.

Other

  • Mentor junior engineers and influence the broader cloud platform organization’s roadmap.
  • Remote-friendly with a strong engineering culture and a fully distributed team.
  • Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity.
  • Agility Robotics prohibits any such discrimination or harassment.
  • Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies.