Machine Learning Engineer, ML Systems and Infrastructure
Job
Autodesk
Remote
Full-Time
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Job Description
- Job Requisition ID #
- 26WD98119
POSITION OVERVIEW
- The work we do at Autodesk touches nearly every person on the planet.
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 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 •
MINIMUM QUALIFICATIONS
- + 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 •
PREFERRED QUALIFICATIONS
- + Experience building data pipelines for large-scale structured and semi-structured technical datasets + Familiarity with data lineage, provenance, governance, and responsible data usage in ML systems + Familiarity with distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platforms + Familiarity with model deployment, inference services, monitoring, and observability for production ML systems + Familiarity with ML-ready representations for geometry, graph, hierarchical, or multimodal data + Experience working with CAD, BIM, AEC, or other complex domain-specific data formats •
THE IDEAL CANDIDATE
- + Is a strong software engineer with interest in machine learning systems + Enjoys improving reliability, automation, and operational excellence + Communicates clearly and collaborates well across functions + Learns quickly and thrives in a fast-moving environment + Brings sound judgment, curiosity, and ownership to engineering work
- Learn More
- About Autodesk
- Welcome to Autodesk!
- Salary transparency
- Salary is one part of Autodesk's competitive compensation package.
- Diversity & Belonging
- We take pride in cultivating a culture of belonging where everyone can thrive.
Learn more here:
https://www.autodesk.com/company/diversity-and-belonging- Are you an existing contractor or consultant with Autodesk?
- Please search for open jobs and apply internally (not on this external site).
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