Senior ML Platform Engineer – Robotics AI Infra (Remote)

Agility Robotics; United States; Remote; USD 197,000 - 307,000; Full time

Benefits offered by this job

401(k) Plan

Equity / stock options

Medical, dental, vision insurance

Remote-friendly / distributed team

Relocation assistance

Annual discretionary bonus

Job summary

Agility Robotics in the United States is seeking a senior ML Infrastructure Engineer to design and build the platform that powers AI for humanoid robotics. You will architect the data processing, training, evaluation, and model management components at scale, enabling reliable experimentation and production workflows.

You will collaborate with AI researchers and robotics engineers, own developer-facing APIs and tooling, and drive end-to-end ML workflows across cloud, Kubernetes, and CI/CD to

Qualifications

• 5+ years of software engineering experience with at least 2+ years on ML infrastructure or MLOps in production.
• Experience building ML platform components (experiment tracking, model registries, training pipelines, deployment systems).
• Familiarity with orchestration and 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).
• Collaborative work with researchers, data engineers, and robotics teams to ship infrastructure used by others.

Responsibilities

• Contribute to design and implementation of the ML platform for end-to-end AI workflows.
• Develop reliable workflows across cloud compute, Kubernetes, and CI/CD automation.
• Build core components like model registry, feature store, and experiment tracking tooling.
• Own developer-facing APIs and CLI tools to simplify ML workflows.
• Implement CI/CD for ML including retraining, testing, and production deployment.

Skills

5+ years software engineering

ML infrastructure

cloud-native platforms

Kubernetes

CI/CD for ML

Python/Scala

Orchestration tools

Cross-functional collaboration

Tools

MLflow

WandB

Airflow

Kubeflow

AWS

Terraform

CDK

Job description

Agility Robotics in the United States is seeking a senior ML Infrastructure Engineer to design and build the platform that powers AI for humanoid robotics. You will architect the data processing, training, evaluation, and model management components at scale, enabling reliable experimentation and production workflows.

You will collaborate with AI researchers and robotics engineers, own developer-facing APIs and tooling, and drive end-to-end ML workflows across cloud, Kubernetes, and CI/CD to