Senior ML Platform Engineer — Remote-friendly, High Impact

Agility Robotics; Fremont (CA); Sur place; USD 197 000 - 307 000; Plein temps

Avantages offerts par ce poste

401(k) Match

Equity

Medical Insurance

Dental Insurance

Vision Insurance

Disability Insurance

Flexible Work

Relocation Assistance

Annual Bonus

Résumé du poste

Agility Robotics is seeking a senior engineer to build and sustain the ML infrastructure that powers fleet-scale humanoid robotics. You will architect the platform for data collection, training, sim, evaluation and model management, enabling AI teams across perception, controls, and innovation to deploy foundation models and policies at scale.

You’ll collaborate with researchers and data engineers to deliver scalable, reproducible ML workflows, while promoting MLOps best practices and strong

Qualifications

• 5+ years of software engineering with 2+ years on ML infrastructure or MLOps in production.
• Experience building ML platform components: experiment tracking, registries, training pipelines, or deployment systems.
• Familiarity with orchestration/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, etc.).
• Collaborates across research scientists, data engineers, and robotics teams to ship infrastructure.

Responsabilités

• Design and implement the ML platform for end-to-end data processing, training, evaluation, and deployment.
• Develop reliable workflows across cloud compute, Kubernetes, and automation.
• Build core infra such as model registry, feature store, and experiment tracking tooling.
• Own developer-facing APIs and CLI tools to make ML workflows reproducible.
• Implement CI/CD for ML enabling retraining, testing, and production model delivery.

Connaissances

ML Infrastructure

Experiment Tracking

Model Registry

Training Pipelines

CI/CD for ML

Cloud Platforms

Kubernetes

Multimodal Data

Outils

MLflow

WandB

Airflow

Kubeflow

Terraform

CDK

Description du poste

Agility Robotics is seeking a senior engineer to build and sustain the ML infrastructure that powers fleet-scale humanoid robotics. You will architect the platform for data collection, training, sim, evaluation and model management, enabling AI teams across perception, controls, and innovation to deploy foundation models and policies at scale.

You’ll collaborate with researchers and data engineers to deliver scalable, reproducible ML workflows, while promoting MLOps best practices and strong