Senior Machine Learning Engineer, Mlops

Autodesk

San Francisco, California, USA
Base: $131,400 - $235,950; bonus/equity: annual ca...
Hybrid
Ci/cd pipelines
Containerized services (docker, kubernetes)
Rest api integration
As a Senior Machine Learning Engineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you will ensure AI-powered experiences meet high standards for reliability, scalability, and operational excellence across Autodesk products

Job Summary

  • As a Senior Machine Learning Engineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you will ensure AI-powered experiences meet high standards for reliability, scalability, and operational excellence across Autodesk products.
  • You will build and operate the infrastructure that takes models from development into production, including deployment automation, monitoring, and secure, scalable service integration.
  • This role is based in proximity to our North American west coast offices, including San Francisco, Portland, and Vancouver.

Matching Summary

As a Senior Machine Learning Engineer focused on Machine Learning Ops (MLOps) for CAD and BIM, you will ensure AI-powered experiences meet high standards for reliability, scalability, and operational excellence across Autodesk products.

Salary

Base: $131,400 - $235,950; Bonus/Equity: annual cash bonuses, stock grants; Benefits: comprehensive benefits package

Skills & Requirements

Must-have

  • CI/CD pipelines
  • Containerized services (Docker, Kubernetes)
  • REST API integration
  • Python based frameworks
  • Production service operation
  • Model testing and validation

Nice-to-have

  • ML/LLM inference services
  • Observability tooling and practices
  • Enterprise internal platform environment
  • Agile or Scrum ways of working
  • Design, manufacturing, or AEC workflows

Key Requirements

  • 3+ years professional software engineering experience
  • BS or MS in Computer Science or equivalent
  • Experience automating testing and deployments
  • Experience building and operating cloud hosted containerized services
  • Experience building REST APIs using Python

Work Rights

Not specified

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