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This listing was closed on Jul 18, 2026.
Browse Open JobsMachine Learning Engineer, ML Systems and Infrastructure
Summary by AIEngineer.careers
Machine Learning Engineer, ML Systems and Infrastructure is a MLOps Engineer role (full-time). with Autodesk. in REMOTE, BOSTON, US. Imported listing (source: linkedin.com). Apply on the employer's site (linkedin.com).
Imported listing (source: linkedin.com) · Apply on linkedin.com
REMOTE · BOSTON · US
—
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from linkedin.com
Autodesk is seeking a Machine Learning Engineer to build and maintain the infrastructure for large-scale ML systems. The role involves developing scalable pipelines, training infrastructure, and data workflows in collaboration with AI researchers and engineers. This is a fully remote-friendly position open to candidates in the US and Canada.
Responsibilities
- 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 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 document technical decisions.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience.
Autodesk
San Francisco · US · 14300+ employees
Autodesk is a global leader in design and make software, providing tools for architecture, engineering, construction, manufacturing, and media and entertainment industries. Its platform integrates technologies like AI, robotics, and generative design.
