Senior Machine Learning Engineer, MLOps West Coast
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Key skills for this role
About the Role
Autodesk is hiring a Senior Machine Learning Engineer focused on MLOps to build and operate infrastructure for AI-powered experiences in CAD and BIM. You will automate model testing, deployment, monitoring, and integrate REST APIs for production inference services.
Key Skills for This Role
Responsibilities
- Test and deploy production models: automate model testing and validation, implement and operate CI/CD pipelines for safe, repeatable deployments and rollbacks.
- Operate inference services: provision and manage backend resources for inference (compute, containers, scaling), and tune performance, reliability, and cost in production.
- Monitor model health and performance: define and continuously monitor health and performance metrics for deployed services, triage issues, and drive timely resolution.
- 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.
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 (e.g., 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.
Full Job Posting
Position Overview
- As a Senior Machine Learning Engineer focused on 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.
Responsibilities
- Test and Deploy Production Models: Automate model testing and validation. Implement and operate CI/CD pipelines to enable safe, repeatable deployments and rollbacks.
- Operate Inference Services: Provision and manage backend resources for inference (compute, containers, scaling), and tune performance, reliability, and cost in production.
- Monitor Model Health and Performance: Define and continuously monitor health and performance metrics for deployed services. Triage issues by severity and drive timely resolution, including incident response and runbooks.
- REST API Integration: Own end to end REST API integration, connecting backend model services to product and platform surfaces through scalable, containerized services.
- Product Ownership and Cross functional Collaboration: Work with researchers, evaluation engineers, product managers, and partner engineering teams to deliver production ready solutions.
Minimum Qualifications
- 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.
Preferred Qualifications
- Experience running production ML or LLM inference services, including performance tuning, cost optimization, and capacity planning.
- Experience with observability tooling and practices (metrics, logging, tracing, alerting) and incident response in an on call environment.
- Experience deploying services within an enterprise internal platform environment with standardized pipelines, security controls, and compliance requirements.
- Familiarity with rate limiting, authentication and authorization, and API security best practices.
- Familiarity with design, manufacturing, or AEC workflows, and how backend services integrate into CAD/BIM product experiences.
- Familiarity with Agile or Scrum ways of working.
Salary Transparency
- For Canada based roles, we expect a starting base salary between CAD 123,000 and CAD 180,400.
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