Machine Learning Engineer at Autodesk

About this job

Our Team

The NavPack team develops intelligent capabilities that help customers accelerate complex design, engineering, and simulation workflows. We combine machine learning with strong product-engineering practices to turn advanced methods into reliable and useful product capabilities.

We work closely with Product Management, UX, domain specialists, Autodesk Research, and other engineering teams. We value technical curiosity, collaborative problem-solving, high-quality software, and measurable customer impact.

What You’ll Do

You will contribute to the development and delivery of machine-learning capabilities for NavPack, from experimentation and evaluation through product integration and continuous improvement.

This is a product-engineering role rather than a dedicated customer-facing position. However, you will periodically join customer and field-team discussions to understand workflows, validate assumptions, explain technical behavior, and help customers use NavPack successfully.

• Develop, evaluate, and improve machine-learning solutions for engineering, geometry, and physics-related problems
• Translate product requirements and customer needs into well-defined technical tasks
• Write clean, maintainable, tested Python code for NavPack product and service codebases
• Contribute to data preparation, experimentation, evaluation, integration, and deployment
• Work with product engineers to move successful methods beyond prototypes into reliable workflows
• Participate in code reviews, testing, documentation, and continuous delivery practices
• Collaborate with product, research, engineering, and domain specialists across distributed teams
• Contribute to technical discussions and architectural decisions, seeking guidance where appropriate
• Surface technical risks, uncertainties, and blockers early
• Participate in selected customer workshops, pilot reviews, and technical feedback sessions
• Explain expected inputs, outputs, limitations, and validation needs clearly to technical and non-technical audiences
• Use customer feedback to improve product behavior, usability, and technical implementation

Minimum Qualifications

• Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Physics, Engineering, or a closely related field
• Strong Python programming skills and the ability to contribute to production software
• Experience developing and evaluating modern machine-learning models
• Experience working with engineering, geometric, scientific, physical, or similarly complex data
• Understanding of software design, testing, debugging, version control, and collaborative development
• Ability to translate experimental work into maintainable and testable software
• Strong analytical and problem-solving skills
• Ability to work effectively in a cross-functional team and learn from more experienced engineers
• Clear written and verbal communication skills
• Willingness to participate in customer discussions and product-validation activities

Preferred Qualifications

• Experience applying machine learning to design, simulation, manufacturing, construction, or engineering workflows
• Knowledge of geometric machine learning, scientific machine learning, Physics AI, or related methods
• Familiarity with computational geometry, numerical simulation, or engineering analysis
• Experience integrating machine-learning capabilities into an existing product or service
• Experience with cloud-based or distributed machine-learning workflows
• Familiarity with reproducible experimentation, monitoring, and model lifecycle practices
• Experience collaborating with customers, domain experts, solution engineers, or research teams

The Ideal Candidate

You are a curious and pragmatic machine-learning engineer who wants to build capabilities that solve meaningful customer problems. You care about both model quality and software quality, and you are motivated to develop experimental ideas into dependable product features.

You are comfortable asking questions, receiving feedback, and working through ambiguity with support from senior engineers. You communicate clearly, collaborate well across disciplines, and are open to learning directly from customers and engineering practitioners.

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Germany based roles, we expect a starting base salary between 59,000 EUR and 85,800 EUR Annual. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.



Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.