Machine Learning Engineer, ML Systems and Infrastructure

Role Overview

Autodesk is looking for an ML Engineer, ML Systems and Infrastructure to help build the technical foundation behind large-scale machine learning systems. This is an engineering-first role focused on building and operating ML systems at scale.

What You Will Do

Build and maintain components of ML pipelines for data preparation, model training, evaluation, deployment, and monitoring. Develop reliable software and infrastructure that supports scalable machine learning workflows.

Why It Might Be a Fit

The ideal candidate is a strong software engineer with interest in machine learning systems, enjoys improving reliability, automation, and operational excellence, communicates clearly and collaborates well across functions, learns quickly and thrives in a fast-moving environment, and brings sound judgment, curiosity, and ownership to engineering work.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience
• At least 2 years of industry experience in software engineering, machine learning infrastructure, distributed systems, data platforms, or related areas
• Strong software engineering fundamentals, including coding, testing, debugging, and code quality
• Proficiency in Python and experience building production-quality software
• Experience with cloud platforms such as AWS, Azure, or GCP
• Familiarity with containers, version control, CI/CD, and modern development workflows
• Experience working with data-intensive systems, backend systems, or ML pipelines

Benefits

• Annual cash bonuses
• Commissions for sales roles
• Stock grants
• Comprehensive benefits package