
Senior Machine Learning Engineer, MLOps
Autodesk
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • Oregon • United States
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Salary
💰 $131,400 - $235,950 per year
Job Level
Tech Stack
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