Machine learning engineer

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.

• 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

• 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
• Будет плюсом: 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

• 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.