Master Thesis focusing on developing machine learning models for lithium - ion cell sorting at Fraunhofer LBF. Involvement in innovative projects addressing circular economy in battery recycling.
About the role
- AI/Machine Learning Engineer at Voitas creating LLM-based models for CAD-related tasks. Collaborating with cross-functional teams in a hybrid working environment.
Responsibilities
- Design and implement LLM-based or transformer architectures for CAD-related reasoning tasks.
- Develop reinforcement learning (RL) and supervise fine-tuning pipelines using real design data.
- Build and maintain scalable data processing and evaluation frameworks.
- Collaborate with CAD and software engineers to integrate ML outputs into real CATIA workflows.
- Research and prototype AI methods for 3D scene understanding, graph-based optimization, and geometric reasoning.
- Document results and present outcomes to technical and management stakeholders.
- Create and maintain technical documentation and reports.
- Ensure proper archiving of all relevant documents and data.
Requirements
- M.S. or Ph.D. in Computer Science, Machine Learning, Robotics, or related field.
- 2+ years of experience in applied ML, preferably with LLMs, RL, or geometric reasoning.
- Strong programming skills in Python (PyTorch, TensorFlow, HuggingFace).
- Solid understanding of 3D data, geometry, or CAD systems is a plus.
- Familiarity with engineering data (e.g., wiring harness, manufacturing design) is beneficial.
- Excellent communication and teamwork skills.
- Additional experience and/or qualifications in the field of electrical engineering, automotive engineering, mechatronics or comparable qualifications are an advantage.
- Experience in project management and coordination of development projects.
- Proven experience coordinating a small engineering team.
- In-depth knowledge of Design Release processes.
- Experience with CAD systems and software (e.g. CATIA V5, 3DX, NX).
- Knowledge of the relevant norms and standards in the automotive industry.
- Ability to identify process improvements – eliminating waste and increasing efficiency.
- Contribute to team knowledge base by sharing best practices across the organization.
- Strong communication skills in English (written / verbal).
- Additional ability to communicate in German is an advantage.
Benefits
- 21 days’ vacation per calendar year, increasing yearly by 3 days to a maximum of 30 days.
- Paid Holidays – 13 per year
- Top notch medical, dental and vision insurance with Employer 50% contribution
- Retirement plan
- Performance bonuses
- On-Site amenities (free coffee, equipped kitchen, parking reimbursement)
- Two team events per year (summer / winter)
- Internal training program
- Employee development plan
- High-quality IT equipment
- Hybrid working possible after initial onboarding and probation.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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