Autodesk

4 weeks ago

Senior Machine Learning Engineer, MLOps West Coast

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior ML Engineer focusing on MLOps for CAD/BIM, building and operating production-ready inference infrastructure, CI/CD pipelines, and scalable REST services. Partnering with researchers and product teams to translate evaluation requirements into production quality gates and continuously optimize model performance in customer environments.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key 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.

Key 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 (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.

Experience:3+ yearsSoftware engineeringML OpsMLOpsProduction services

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamworkWriting

Languages:English

Tech Stack:PythonDockerKubernetesCI/CDREST APIAPIsGit

Company Brief

Autodesk

Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Autodesk

4 weeks ago

Senior Machine Learning Engineer, MLOps West Coast

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key 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.

Key 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 (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.

Experience:3+ yearsSoftware engineeringML OpsMLOpsProduction services

Education:Bachelor's

Skills:CommunicationProblem-solvingTeamworkWriting

Languages:English

Tech Stack:PythonDockerKubernetesCI/CDREST APIAPIsGit

Company Brief

Autodesk

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor