Machine Learning Engineer

About the Company

An innovative stealth-mode deep tech start-up based in Munich, Germany is revolutionizing the design process for physical components and hardware by integrating advanced AI technologies.

Role Overview

We are seeking a skilled Machine Learning Engineer with expertise in 3D geometry and generative modeling. This role involves developing and refining core systems that connect artificial intelligence with physical manufacturing workflows.

Key Responsibilities

• Conduct research and develop sophisticated machine learning models focused on understanding, manipulating, and generating 3D shapes.
• Design and maintain robust data pipelines that transform complex geometric data into formats suitable for machine learning applications.
• Create efficient training pipelines for geometric deep learning and spatially extensive models.
• Manage the full deployment cycle of ML models, ensuring they perform optimally in production environments regarding speed and scalability.
• Work collaboratively with various teams to embed generative machine learning capabilities into the company's primary platform.

Required Qualifications

• Minimum of two years professional experience deploying machine learning solutions in production.
• Proficient in Python programming and working knowledge of ML libraries such as PyTorch or TensorFlow.
• Practical experience handling and processing 3D spatial datasets.
• Familiarity with computational geometry principles, CAD/CAM software tools, or advanced MLOps systems.

Compensation and Benefits

• Competitive salary range of €80,000 to €120,000 annually.
• Equity stake offered to provide meaningful ownership in the company.
• Opportunity to influence technical strategies and contribute to core intellectual property as a founding team member.
• Engage with challenging and complex problems at the convergence of AI, computer vision, and engineering.