Senior ML Platform Engineer - Robotics & MLOps

Agility Robotics

Fremont (CA)

Remote

USD 197.000 - 307.000

Vollzeit

vor 19 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

401(k) Plan with company match
Equity (stock options)
Full medical/dental/vision coverage

Zusammenfassung

Agility Robotics seeks a seasoned software engineer to shape our ML platform. You will architect end-to-end data processing, training, evaluation, and deployment workflows, building core infra like model registries and feature stores.

You will own APIs and CI/CD for ML, enabling reliable retraining and production delivery. You will collaborate with researchers, data engineers, and robotics teams, applying MLOps best practices and guiding platform scalability.

Qualifikationen

  • 5+ years of software engineering experience, with 2+ years on ML infra, 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 multimodal data (sensor logs, camera streams, behavioural traces).
  • Collaborating cross-functionally with researchers, data engineers, and robotics teams to ship infrastructure.

Aufgaben

  • Contribute to design and implementation of the ML platform for end-to-end data processing, training, evaluation, and deployment.
  • Develop reliable workflows across cloud compute, Kubernetes, and automated pipelines.
  • Build core infrastructure components like the model registry, feature store, and experiment tracking tooling.
  • Own developer-facing APIs and CLI tools for reproducible ML workflows.
  • Implement CI/CD for ML enabling retraining, testing, and model delivery to production.

Kenntnisse

ML Platform
Cloud native
CI/CD for ML
Experiment Tracking
Model Registry
Automation
Terraform

Tools

MLflow
WandB
Airflow
Kubeflow
AWS
GCP

Jobbeschreibung

Agility Robotics seeks a seasoned software engineer to shape our ML platform. You will architect end-to-end data processing, training, evaluation, and deployment workflows, building core infra like model registries and feature stores.

You will own APIs and CI/CD for ML, enabling reliable retraining and production delivery. You will collaborate with researchers, data engineers, and robotics teams, applying MLOps best practices and guiding platform scalability.

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