Senior Machine Learning Engineer, MLOps West Coast

Autodesk

Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CA · Vancouver, British Columbia, Canada · Portland, OR
Salary
$131,400–$235,950 / yr
Posted
60 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $219k
This role $184k
$116k most similar roles pay here $277k

This role pays less than 76% of similar roles. Most pay $184,575–$253,400 — the shaded band above. At the midpoint, this role pays about $184k versus about $219k for comparable roles.

Based on 239 similar postings.

Employer

About Autodesk

Autodesk is a global leader in 3D design, engineering, and entertainment software, enabling users to imagine, design, and create a better world.

Autodesk currently has 44 open roles on FindRole.

Listed pay typically runs $139,000–$249,260 across 42 roles with salary data.

Most-posted roles

View all roles at Autodesk

At a glance

TL;DR · Senior Machine Learning Engineer, MLOps West Coast

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As a Senior Machine Learning Engineer focused on MLOps for CAD and BIM at Autodesk, you will work within the Model Delivery team to ensure AI-powered experiences meet high standards of reliability and scalability. Your day-to-day responsibilities include automating model testing and deployment through CI/CD pipelines, provisioning backend resources for inference services, monitoring model health and performance metrics, integrating REST APIs with scalable containerized services, and collaborating closely with researchers and product teams to deliver production-ready solutions. You will need expertise in Python-based frameworks, Docker, Kubernetes, and cloud-hosted, containerized services, along with strong software engineering fundamentals and written communication skills. This role involves working on large-scale infrastructure that supports creative industries by integrating AI into Autodesk’s products, requiring a deep understanding of operational excellence and continuous improvement in real-world environments.

Skills

CI/CD Kubernetes Docker Python REST API AWS Azure Grafana Prometheus Git Scrum MLOps LLM API security Rate limiting Authentication Authorization Agile

What you'll do

  • Automate model testing and validation for safe deployments.
  • Provision and manage backend resources for AI inference services.
  • Define and monitor health metrics to ensure service reliability.
  • Own REST API integration between backend models and product surfaces.
  • Collaborate with cross-functional teams to deliver production-ready solutions.

What we're looking for

  • 3+ years of professional software engineering experience building and operating production services.
  • Experience automating testing and deployments using CI/CD with safe rollouts and rollbacks.
  • Expertise in cloud-hosted, containerized services (e.g., Docker, Kubernetes) for provisioning resources and scaling inference workloads.
  • Proficiency in building REST APIs using Python frameworks and integrating backend services with product or platform consumers.
  • Strong software engineering fundamentals including version control, code quality, and maintainable, testable software development.
  • BS or MS in Computer Science, Computer Engineering, or equivalent industry experience.

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