Machine Learning Engineer

• Evaluate and select state-of-the-art GenAI models to enhance simulation performance.
• Design and operate a scalable training and MLOps infrastructure, including distributed training, automated evaluation pipelines, and optimized cloud/on-prem compute usage.
• Optimize our GPU toolchain, scheduling, profiling, and resource allocation to ensure fast and reproducible training cycles.
• Contribute to the simulation of driver assistance systems and evaluate simulation quality with respect to the toolchain and model behavior.
• Work closely with an agile, interdisciplinary engineering team.

Technologies:

• 3D
• AI
• API
• Cloud
• CUDA
• Git
• Machine Learning
• Python
• Rust
• Security
• Unreal
• GameDev

• University degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications.
• Several years of experience in ML Engineering or MLOps, ideally with hands-on expertise in quantization, model compression, experiment design, ablations, data quality, metrics & evaluation or architecture optimization.
• A deep understanding of modern AI model architectures, training pipelines, distributed learning, and GPU optimization.
• Confident working with synthetic data, augmentation strategies, and data-driven model downsizing.
• Engineering skills in Python (plus C++/Rust), CUDA, API design, testing, debugging across the stack, Git.
• Knowledge in tools like Blender, glTF, Unreal, RoadRunner is a plus.
• Knowledge in 3D scene creation or algorithmic 3D reconstruction is a plus.

We are at the forefront of shaping next-gen mobility through Artificial Intelligence and machine learning, focusing on advanced driver assistance functions and AI models that transform travel. Our role places you in the center of next-generation virtual development, working on AI-based 3D reconstruction and simulation quality enhancement. We offer challenging projects, personal and professional development opportunities, an attractive remuneration package, job security, vacation pay, bonuses, and flexible working hours. Join us in shaping the mobility of tomorrow!