ML Engineer for Systems at Autodesk

Autodesk
Toronto, CA; US
Remote

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

What success looks like

  • successful ML pipeline development
  • improved operational efficiency
Typical background
2+ years of experience in software engineeringproficiency in Python

Transferable backgrounds

Skills & requirements

Required

machine learningdata processingcloud platformsproduction software quality

Preferred

distributed trainingoperational efficiency

Stack & domain

Ml pipelinesData processingScalable infrastructureSoftware solutionsDistributed data processing systemsData ingestionValidation processesTroubleshootingPerformanceInfrastructure issuesPythonProduction software qualityAwsAzureGcpData-intensive systemsBackend workflowsCollaborationProblem-solvingCommunicationMachine learningSystemsInfrastructure

About the role

Join Autodesk as a Machine Learning Engineer focused on ML systems and infrastructure. Leverage your technical skills to build scalable pipelines and production-ready systems for AI-powered product experiences.

This fully remote role emphasizes strong engineering foundations in machine learning systems. Collaborate with AI researchers and software engineers to develop reliable infrastructure supporting large-scale workflows. Key challenges include distributed training, data processing, and improving operational efficiency across ML systems.

Key Responsibilities:

  • Build and maintain ML…

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