Drimva

Agility Robotics

Senior Software Engineer, AI/ML Platform

$197K–$307K

Remote +1 · Remote · Senior · Full-time · Posted Aug 20, 2026

Location
Remote
Remote, Oregon, United States
Experience
5+ years in software engineering, including at least 2+ years in production ML infrastructure, data platforms, or MLOps.
Visa sponsorship
Applicants must have current authorization to work in the United States.

About the job

Build and operate the ML infrastructure platform that supports data processing, model training and evaluation, and deployment across Agility Robotics’ humanoid robot fleet.

What you'll do

  • Design and implement end-to-end ML platform workflows, including data processing, training, evaluation, and deployment.
  • Build platform components and developer tools, including model registries, feature stores, experiment tracking, APIs, and CLI tools.
  • Develop reliable cloud and Kubernetes workflows, CI/CD for ML, and model monitoring; collaborate with AI, robotics, and data teams.

What they ask for

  • 5+ years of software engineering experience, including at least 2+ years working on production ML infrastructure, data platforms, or MLOps systems.
  • Experience building and maintaining ML platform components such as experiment tracking, model registries, training pipelines, or deployment systems.
  • Familiarity with orchestration and tracking tools; proficiency with cloud-native platforms, containers, and IaC.
  • Hands-on experience processing or modeling multimodal data; able to collaborate cross-functionally.

Nice to have

  • Experience with robotics, autonomous vehicles, drones, or embedded ML.
  • Contributions to open-source ML infrastructure or MLOps tooling.

Pay

$197,000 — $307,000 USD (base salary)

Tools

MLflow, WandB, Airflow, Kubeflow, AWS, GCP, Azure, Kubernetes

AI focus

Enable AI teams to build and deploy robot foundation models and end-to-end policies through ML platform infrastructure for data, training, evaluation, model management, and deployment.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)