Senior Principal Machine Learning Engineer, ML Platform and Systems Architecture
Autodesk
At a glance
AI generatedAs a Principal Machine Learning Engineer on the ML Platform and Systems Architecture team at Autodesk, you will lead the design and evolution of large-scale machine learning platforms, working closely with researchers, product teams, and engineering leadership to build reliable, scalable systems. Your daily responsibilities include architecting distributed training systems, managing data pipelines, deploying models in production, and ensuring observability across all stages. You will leverage Python and other tools like Kubernetes, Ray, Airflow, Spark, and modern ML platform tooling to drive technical initiatives that span multiple teams. This role requires deep expertise in software architecture, distributed computing, and end-to-end system thinking, with a focus on defining the technical direction for ML systems and improving engineering standards and operational practices.
Skills
What you'll do
What we're looking for
Market check
This $152,000–$272,250 range sits above 49% of similar postings on FindRole.
Peer median band
$170,000–$261,300
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$183,668–$251,775
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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