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Autodesk

How the world gets designed and made. #MakeAnything

Machine Learning Engineering Manager, Model Delivery

Engineering ManagerEngineering ManagerOtherRemoteSeniorTeam 10,001+Since 1982H1B No SponsorCompany SiteLinkedIn

Location

California

Posted

115 days ago

Salary

$148.5K - $266.2K / year

Seniority

Senior

Bachelor DegreeEnglishAWSAzureGCP

Job Description

Machine Learning Engineering Manager, Model Delivery

Autodesk

• Lead and grow a team of ML engineers focused on production ML systems • Lead model improvements in response to production issues, product feedback, and new research or platform advancements • Lead production release processes for ML services, including release planning, CI/CD, staged rollouts, and rollback procedures • Build and operate observability and on-call practices for ML features, including monitoring, alerting, dashboards, incident response, and post-incident reviews • Develop and maintain scalable evaluation frameworks, datasets, and automated regression tests to prevent quality regressions • Lead reliability, performance, and cost improvements for inference and serving, including capacity planning and meeting SLAs (latency, throughput, availability) • Partner with researchers, product, and platform teams to define quality bars and production readiness, including Trusted AI requirements • Establish and evolve production standards and governance across ML features (testing, evaluation methodology, release gates, model versioning and lineage) • Partner with platform and product teams to integrate ML capabilities into products

Job Requirements

  • BS/MS in CS/Engineering or equivalent experience
  • Experience building and operating software systems, including production ML systems
  • People leadership experience, or strong technical leadership experience (mentoring, setting direction, driving delivery)
  • Experience with cloud infrastructure and production observability (AWS, Azure, or GCP)
  • Experience with CI/CD, reproducible deployments, and operating services in production
  • Strong written communication and documentation skills

Benefits

  • Health and financial benefits
  • Time away and everyday wellness

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