Prepin
Log in
Autodesk

engineering opportunity

Senior Machine Learning Engineer, MLOps West Coast

The Senior Machine Learning Engineer will build and operate infrastructure to transition AI models from development into production environments. Responsibilities include managing CI/CD pipelines, monitoring model health, and ensuring scalable, reliable inference services.

Vancouver, British Columbia, CanadahybridFULL_TIME

Posted

About the role

What will you do at Autodesk?

Job Requisition ID # 26WD96432 Position Overview The work we do at Autodesk

touches nearly every person on the planet. By creating software tools for making

buildings, machines, and even the latest movies, we influence and empower some

of the most creative people in the world. As a Senior Machine Learning Engineer

focused on Machine Learning Ops (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. You

will partner closely with researchers, evaluation engineers, and product teams

to translate evaluation requirements into production quality gates, reduce

operational risk, and continuously improve model performance in real customer

environments. You will report to a manager in the Model Delivery team within

Autodesk Research. This role is based in proximity to our North American west

coast offices, including San Francisco, Portland, and Vancouver. We support both

in-person, hybrid, and remote work.

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.

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. Learn More About Autodesk Welcome to Autodesk! Amazing
  • things are created every day with our software – from the greenest buildings and
  • cleanest cars to the smartest factories and biggest hit movies. We help
  • innovators turn their ideas into reality, transforming not only how things are
  • made, but what can be made. We take great pride in our culture here at Autodesk
  • – it’s at the core of everything we do. Our culture guides the way we work and
  • treat each other, informs how we connect with customers and partners, and
  • defines how we show up in the world. When you’re an Autodesker, you can do
  • meaningful work that helps build a better world designed and made for all. Ready
  • to shape the world and your future? Join us! Salary transparency 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. Salary is one part of Autodesk’s competitive compensation 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. Belonging We take pride in
  • cultivating a culture of belonging where everyone can thrive. Learn more here:
  • https://www.autodesk.com/company/global-belonging Are you an existing contractor
  • or consultant with Autodesk? Please search for open jobs and apply internally
  • (not on this external site). Welcome to Autodesk! Amazing things are created
  • every day with our software – from the greenest buildings and cleanest cars to
  • the smartest factories and biggest hit movies. We help innovators turn their
  • ideas into reality, transforming not only how things are made, but what can be
  • made. We take great pride in our culture here at Autodesk – it’s at the core of
  • everything we do. Our culture guides the way we work and treat each other,
  • informs how we connect with customers and partners, and defines how we show up
  • in the world. When you’re an Autodesker, you can do meaningful work that helps
  • build a better world designed and made for all. Ready to shape the world and
  • your future? Join us! Not quite ready to apply? Join our talent community to
  • stay up to date on new job opportunities and the latest Autodesk news.

Which skills does this role require?

MLOpsCI/CDPythonDockerKubernetesREST APIsCloud infrastructureModel deploymentSoftware engineeringAutomationSystem architectureScalabilityMachine LearningREST APICloud ComputingMonitoringSoftware EngineeringModel DeliveryContainerizationVersion ControlLLMs

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Confirm current details on the original application page.

Product

AI Candidate AgentCompaniesBrowse JobsDeep ProfileSkill AssessmentOpportunity Matching
Prepin.ai

© 2026 Prepin | All rights reserved.