ML Simulation Engineer

ML Simulation Engineer

Aptiv

Wuppertal, Germany

Your Tasks

• Develop, support and execute advanced simulations and software tool development for synthetic data generation for automotive interior sensing machine learning algorithms;
• Modelling, texturing, rigging and animation of 3D assets, and building diverse scenes;
• Minimize domain gap of synthetic and real data for training and testing of ML algorithms;
• Work closely with machine learning engineers to understand data requirements;
• Deployment of simulation render jobs on-premise and/or in cloud;
• Writing high quality, tested and efficient software in Python for our AI/ML Simulation Stack;
• Working in an Agile SW development team (SCRUM).

Your Background

Required Qualifications:

• Bachelor's or master's degree in computer science or related field with specialization on Computer Simulation, Computer Graphics or Computer Vision;
• 3 years of practical experience with 3D simulation software, video game development or another related field;
• Strong software development skills in Python. You have a passion for clean, well-tested, and documented code;
• Proven experience with at least one of the following tools: Blender 3D, Unreal Engine, Unity;
• Practical experience with Linux, version control systems (e.g. Git, DVC);
• Solid knowledge in classical computer vision and camera calibration;
• Basic knowledge in machine learning model building and evaluation;
• Fluent in English. Excellent written and verbal communication skills & interpersonal skills.

Preferred Qualifications:

• Solid knowledge in at least one common ML framework (e.g. PyTorch, Tensorflow);
• Experience working with Image-based Generative Models (e.g. Stable Diffusion, GANs, VAEs, Diffusion Models);
• Experience with scaling large workloads on cloud infrastructure;
• Experience working with large scale datasets.

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