Machine Learning Engineer, Autodesk
ML Systems and Infrastructure
3D design, engineering & entertainment software
Open for applications
3D design, engineering & entertainment software
1001+ employees
Open for applications
1001+ employees
Company mission
To empower innovators with design and make technology so they can achieve the new possible.
Role
Who you are
- 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
- 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
Desirable
- 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
What the job involves
- Autodesk is looking for an ML Engineer, ML Systems and Infrastructure to help build the technical foundation behind large-scale machine learning systems
- In this role, you will partner with AI researchers, software engineers, and platform teams tobuild scalable pipelines, training infrastructure, data workflows, and production-ready ML systems that support the nextgeneration of AI-powered product experiences
- This is an engineering-first role focused on building and operating ML systems at scale
- You will work on problems such asdistributed training workflows, data processing pipelines, model evaluation infrastructure, deployment systems, and platform tooling that improves reliability, efficiency, and developer velocity
- This role is fully remote-friendly, with team members distributed across the US and Canada
- 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
Our take
Autodesk supplies software that enables teams to collaborate, design, simulate, and fabricate their ideas in 3D, serving a range of industries such as engineering, product design, and entertainment. Founded in 1982, the company first delivered the AutoCAD system, a commercial computer-aided design and drafting software application, that is still seeing updated releases to this day.
Over 100 million people use Autodesk software across various industries and applications – in some of which it remains nearly irreplaceable. The company has an impressive history of diversification, which it continues to this day. For example, the 2022 acquisition of Moxion, a cloud-based platform for digital dailies used by leading filmmakers, bolstered the company’s offerings for the media and entertainment industry.
The rise of AR and VR technologies is driving modern growth in the computer-aided design market, creating space for Autodesk to expand further. Additionally, a shift to the popular SaaS model positions the company to seek further success.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Company HQ
SoMa, San Francisco, CA
Leadership
Andrew Anagnost
(CEO & President)Has worked at the company since 1997, including as CMO and Senior Vice President of Business Strategy and Marketing. Became CEO in 2017.
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