Senior Principal Machine Learning Engineer, ML Platform and Systems Architecture
Autodesk
At a glance
AI generatedAs a Senior ML Engineer at Autodesk, you will join the ML Systems and Infrastructure team to design and scale machine learning systems that enable research and product development across creative industries. Your day-to-day responsibilities include building scalable data pipelines, distributed training systems, and production workflows for foundation models and ML-powered features. You will optimize these systems for performance and cost efficiency while contributing to model deployment, inference services, and monitoring frameworks. Additionally, you will mentor team members through code reviews and design discussions, collaborating closely with researchers and product engineers to ensure robust engineering practices. The ideal candidate has 3-4 years of industry experience in production software, ML infrastructure, and distributed systems, along with strong proficiency in Python and familiarity with cloud platforms like AWS or GCP. Experience with data lineage, model deployment, and distributed ML frameworks such as PyTorch is preferred, as well as a background in AEC workflows or Autodesk products.
Skills
What you'll do
What we're looking for
Market check
This listing doesn't show a salary. Similar roles on FindRole typically pay $155,420–$241,500.
Peer median band
$155,420–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$160,000–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Autodesk is a global leader in 3D design, engineering, and entertainment software, enabling users to imagine, design, and create a better world.
Autodesk currently has 34 open roles on FindRole.
Listed pay typically runs $139,000–$249,260 across 32 roles with salary data.
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