Senior Machine Learning Engineer, MLOps West CoastAutodesk, Inc. • Portland, Oregon, United States
Senior Machine Learning Engineer, MLOps West Coast
Autodesk, Inc.
- Portland, Oregon, United States
- Portland, Oregon, United States
À propos
Senior Machine Learning Engineer focused on Machine Learning Ops (MLOps) for CAD and BIM, reporting to the Model Delivery team within Autodesk Research. The role is based in proximity to North American west coast offices and supports in‑person, hybrid, and remote work. Responsibilities include building and operating infrastructure that takes models from development into production—deployment automation, monitoring, and secure, scalable service integration—while partnering closely with researchers, evaluation engineers, product teams, and partner engineering teams to translate evaluation requirements into production‑ready solutions. 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); 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 elevate issues when necessary. 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 (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. 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 U.S.‑based roles, the starting base salary range is $131,400–$235,950, and for Canada‑based roles it is $123,000–$180,400. Offers may exceed these ranges based on experience and location. Additional compensation may include annual cash bonuses, commissions (for sales roles), stock grants, and a comprehensive benefits package. Equal Employment Opportunity
Autodesk is 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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Compétences linguistiques
- English
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