Senior Machine Learning Engineer, Mlops West Coast

Autodesk

San Francisco, California, US
Base: $131,400 - $235,950; bonus/equity: may inclu...
On-site
Automate model testing and deployment
Ci/cd pipelines for safe deployments
Operate inference services
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.
  • We support both in-person, hybrid, and remote work.

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: May include annual cash bonuses, stock grants; Benefits: Comprehensive benefits package

Skills & Requirements

Must-have

  • Automate model testing and deployment
  • CI/CD pipelines for safe deployments
  • Operate inference services
  • Monitor model health and performance
  • REST API integration
  • Python based frameworks

Nice-to-have

  • ML or LLM inference services
  • Observability tooling and practices
  • Enterprise internal platform environment
  • Agile or Scrum ways of working

Key Requirements

  • 3+ years of professional software engineering experience
  • BS or MS in Computer Science, Computer Engineering, or equivalent industry experience
  • Experience with Docker and Kubernetes
  • Strong software engineering fundamentals

Work Rights

Not specified

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