Autodesk

Senior Machine Learning Engineer, MLOps

Autodesk

full-time

Posted on:

Location Type: Hybrid

Location: San FranciscoCaliforniaOregonUnited States

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Salary

💰 $131,400 - $235,950 per year

Job Level

About the role

  • Automate model testing and validation.
  • Implement and operate CI/CD pipelines to enable safe, repeatable deployments and rollbacks.
  • Provision and manage backend resources for inference (compute, containers, scaling), and tune performance, reliability, and cost in production.
  • Define and continuously monitor health and performance metrics for deployed services.
  • Triage issues by severity and drive timely resolution, including incident response and runbooks.
  • Own end-to-end REST API integration, connecting backend model services to product and platform surfaces through scalable, containerized services.
  • Work with researchers, evaluation engineers, product managers, and partner engineering teams to deliver production-ready solutions, communicate status and risks, and escalate when needed.

Requirements

  • BS or MS in Computer Science, Computer Engineering, or equivalent industry experience.
  • 3+ years of professional software engineering experience building and operating production services.
  • Experience automating testing and deployments using CI/CD, including release workflows that support safe rollouts and rollbacks.
  • Experience building and operating cloud hosted, containerized services (for example Docker and Kubernetes or similar), including provisioning resources and scaling inference workloads.
  • Experience building REST APIs using Python based frameworks (or similar), and integrating backend services with product or platform consumers.
  • Strong software engineering fundamentals: version control, code quality, and writing maintainable, testable software.
  • Strong written communication skills to document architectures, runbooks, and operational processes.
Benefits
  • Health and financial benefits
  • Time away
  • Everyday wellness
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
model testingmodel validationCI/CD pipelinesbackend resource managementperformance tuningreliability tuningcost tuningREST API integrationcloud servicescontainerization
Soft Skills
communicationincident responseproblem-solvingcollaborationstatus reportingrisk management
Certifications
BS in Computer ScienceMS in Computer Scienceequivalent industry experience