Senior ML Platform Engineer — Robotics AI (Remote)

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

Benefits offered by this job

401(k) match

Equity

Medical, dental, vision insurance

Unlimited PTO

Relocation assistance

Annual discretionary bonus

Well-Being Support

Tuition reimbursement

Job summary

Agility Robotics is seeking a senior engineer to build and scale the ML infrastructure platform that powers our fleet-scale humanoid robotics. You will own data processing, training, evaluation, and model management across perception, controls, skills, and innovation teams.

You will collaborate with researchers and data engineers to deliver scalable ML workflows, implement MLOps best practices, and contribute to platform architecture and reliability in a remote-friendly, distributed team

Qualifications

• 5+ years of software engineering experience, with 2+ years on ML infrastructure, data platforms or MLOps in production.
• Experience building ML platform components: experiment tracking, model registries, training pipelines, or 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, behaviour traces).
• Comfortable collaborating cross-functionally with researchers, data engineers, and robotics teams to ship infrastructure.

Responsibilities

• Design and implement the ML platform for end-to-end AI data processing, training, evaluation, and deployment.
• Develop workflows across cloud compute, Kubernetes, and automation.
• Build core infra like model registry, feature store, and experiment tracking tooling.
• Own developer APIs and CLI tools for reproducible ML workflows.
• Implement CI/CD for ML enabling retraining, automated tests, and production model delivery.
• Collaborate with researchers and engineers to translate requirements into scalable solutions.
• Integrate ML orchestration with existing data lake and pipelines.
• Mentor engineers and contribute to platform architecture and reliability.

Skills

ML infrastructure

Kubernetes

Cloud platforms

CI/CD for ML

Cross-functional collaboration

MLOps concepts

Experiment tracking

Tools

MLflow

WandB

Airflow

Kubeflow

Terraform

CDK

Job description

Agility Robotics is seeking a senior engineer to build and scale the ML infrastructure platform that powers our fleet-scale humanoid robotics. You will own data processing, training, evaluation, and model management across perception, controls, skills, and innovation teams.

You will collaborate with researchers and data engineers to deliver scalable ML workflows, implement MLOps best practices, and contribute to platform architecture and reliability in a remote-friendly, distributed team