Senior Machine Engineer, ML Systems and Infrastructure

🕒 May 6

🗻 New Hampshire, New Jersey, +2 more states – Remote

🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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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

• Design and build scalable systems for ML training, evaluation, deployment, and monitoring • Develop and improve data pipelines that process large-scale structured and semi-structured technical datasets • Optimize distributed workflows for performance, reliability, resource utilization, and cost efficiency • Build platform capabilities such as experiment tracking, model versioning, checkpointing, reproducibility, and observability • Contribute to model deployment, inference services, and production monitoring workflows • Improve data quality, lineage, provenance, and operational transparency across ML pipelines • Contribute to architecture and design discussions across the team • Identify and resolve bottlenecks in data, compute, orchestration, and observability layers • Mentor engineers through code reviews, design guidance, and knowledge sharing • Collaborate closely with researchers, product engineers, and platform partners to turn ML workflows into robust engineering systems

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience • At least 3 to 4 years of industry experience building and operating production software, ML systems, distributed infrastructure, or large-scale data pipelines • Strong experience in software engineering, distributed systems, backend systems, or ML infrastructure • Strong proficiency in Python and experience delivering production-quality systems • Experience designing and operating scalable data or compute pipelines • Experience with cloud platforms such as AWS, Azure, or GCP • Familiarity with containers, CI/CD, observability, and release quality practices • Ability to independently drive technical execution on complex work with limited oversight

🏖️ Benefits

• Flexible work arrangements • Professional development opportunities