Senior ML Platform Engineer for Scalable Humanoid AI

Aimlroles; Northern (KY); Hybrid; USD 197,000 - 307,000; Full time

Benefits offered by this job

401(k) plan

Equity (stock options)

Medical, dental, vision insurance

Unlimited PTO & holidays

Relocation assistance

Annual discretionary bonus

Job summary

Agility Robotics is seeking a senior engineer to build and own the ML infrastructure and platform that powers fleet-scale humanoid robotics. You will shape data collection pipelines, training workflows and model management to support perception, controls and autonomy teams.

The role emphasizes end-to-end ML lifecycle tooling, reproducible workflows, and strong collaboration with AI researchers and robotics engineers. Remote-friendly, US-based.

Qualifications

• 5+ years of software engineering with 2+ years on ML infrastructure or MLOps in production.
• Experience building ML platform components like experiment tracking or model registries.
• Familiarity with orchestration/tracking tools (MLflow, WandB, Airflow, Kubeflow).
• Proficiency with cloud-native platforms (AWS, GCP, Azure), containers and IaC.
• Hands-on experience with multimodal data and cross-functional collaboration.

Responsibilities

• Design and implement the ML platform for data processing, training, evaluation and deployment.
• Develop workflows across cloud compute, Kubernetes, and automation.
• Build core infra: model registry, feature store, experiment tracking.

Skills

ML infrastructure

MLOps

Cloud platforms

Kubernetes

ML pipeline CI/CD

Tools

MLflow

WandB

Airflow

Kubeflow

Terraform

CDK

Job description

Agility Robotics is seeking a senior engineer to build and own the ML infrastructure and platform that powers fleet-scale humanoid robotics. You will shape data collection pipelines, training workflows and model management to support perception, controls and autonomy teams.

The role emphasizes end-to-end ML lifecycle tooling, reproducible workflows, and strong collaboration with AI researchers and robotics engineers. Remote-friendly, US-based.