Senior ML Platform Engineer for Humanoid Robotics

Agility Robotics; Sacramento (CA); Remote; USD 197,000 - 307,000; Full time

Benefits offered by this job

401(k) with 6% match

Equity options

Medical, dental, vision insurance

Unlimited PTO and holidays

Relocation assistance

Tuition reimbursement

Flexible work arrangements

Parental leave

Job summary

Agility Robotics is seeking a senior ML Infrastructure Engineer to design and build the foundational platform for AI and machine learning operations across data collection, training, evaluation, and deployment.

You will own developer APIs, CI/CD for ML, and collaborate with research scientists, data engineers, and robotics teams to ship scalable, reproducible ML workflows in a remote-friendly, fully distributed culture.

Qualifications

• 5+ years of software engineering experience, with ML infra experience in production environments.
• Experience building ML platforms: experiment tracking, model registries, training pipelines, deployment systems.
• Familiarity with orchestration/tracking tools (MLflow, WandB, Airflow, Kubeflow).
• Proficiency with cloud-native platforms (AWS, GCP, Azure), containers and IaC (CDK, Terraform).
• Hands-on experience with processing/multimodal data.
• Comfortable collaborating cross-functionally with researchers and engineers.

Responsibilities

• Design and implement the ML platform for end-to-end data processing, training, evaluation, and deployment.
• Develop reliable workflows across cloud, Kubernetes, and automation.
• Build core infra components like model registry, feature store, and experiment tracking tools.
• Own developer APIs and CLI tools for reproducible ML workflows.
• Orchestrate CI/CD for ML including retraining and automated testing.

Skills

5+ years software engineering

ML infrastructure

ML tooling (MLflow WandB Airflow Kubef

Cloud platforms (AWS GCP Azure)

Infrastructure as Code (CDK Terraform)

Multimodal data processing

Cross-functional collaboration

Tools

Kubernetes

Job description

Agility Robotics is seeking a senior ML Infrastructure Engineer to design and build the foundational platform for AI and machine learning operations across data collection, training, evaluation, and deployment.

You will own developer APIs, CI/CD for ML, and collaborate with research scientists, data engineers, and robotics teams to ship scalable, reproducible ML workflows in a remote-friendly, fully distributed culture.