Senior Machine Learning Engineer, MLOps West Coast

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, 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.

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.

Skills

None specified in the job posting.

Benefits

Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $131,400 and $235,950. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

For Canada based roles, we expect a starting base salary between $123,000 and $180,400. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity: At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

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