# Senior Software Engineer, AI/ML Platform

Hiring organization: [Agility Robotics](https://career.thegoodapps.co/organizations/agility-robotics)

Canonical page: https://career.thegoodapps.co/jobs/9a4bd096-52b3-4279-89fe-8a643ea2a2a7

Listed on Agility Robotics's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Location: Remote
- Remote: yes
- Salary: 197000 – 307000 USD per year

## Summary

Build the ML infrastructure and platform layer that powers Agility's fleet of humanoid robots, architecting systems for data collection, model training, evaluation, and deployment at scale. This role suits senior engineers with hands-on MLOps and cloud platform experience who want to directly enable production AI systems in robotics.

_Our summary, not Agility Robotics's wording._

## Skills named

Amazon Web Services (AWS), Apache Airflow, AWS Cloud Development Kit (CDK), Kubeflow, Kubernetes, Microsoft Azure, MLflow, Python, Terraform

## Required

- 5+ years of software engineering experience
- 2+ years working on ML infrastructure, data platforms or MLOps systems in production
- Experience building experiment tracking, model registries, training pipelines or deployment systems
- Knowledge of orchestration and tracking tools like MLflow, WandB, Airflow or Kubeflow
- Cloud platform proficiency (AWS, GCP or Azure)
- Container and Infrastructure-as-Code experience
- Hands-on experience with multimodal data (sensor logs, camera streams, behavior traces)
- Cross-functional collaboration with research scientists and data engineers

## Nice to have

- Robotics, autonomous vehicles, drones or embedded ML experience
- Open-source ML infrastructure or MLOps tooling contributions

Apply on Agility Robotics's site: https://www.agilityrobotics.com/about/job-post?gh_jid=6148969004