Machine Learning Engineer, ML Systems – Infrastructure

🕒 May 6

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Autodesk

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1982

📱 Media

Architecture • Engineering • Media

Autodesk is a global leader in software for designers, engineers, builders, and creators. The company provides a comprehensive suite of design and engineering applications including popular products like AutoCAD, Revit, and 3ds Max. Through its Design and Make Platform, Autodesk empowers professionals across various industries to design, visualize, and manage projects efficiently, facilitating innovation and sustainability in architecture, engineering, construction, and manufacturing.

📋 Description

• 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 • Contribute to distributed data processing and training systems used by researchers and engineering teams • Support data ingestion, transformation, validation, and serving for large-scale structured and semi-structured technical datasets • Improve automation, testing, CI/CD, observability, and operational reliability for ML systems • Troubleshoot data, infrastructure, and performance issues in collaboration with senior engineers • Participate in design discussions and contribute ideas that improve system scalability, maintainability, and efficiency • Document technical decisions, workflows, and operational processes clearly

🎯 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 • Ability to work independently on well-defined problems with moderate ambiguity

🏖️ Benefits

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