Machine Learning Engineer (m/f/d)

Key Responsibilities:

• Design and implement deep learning models for 3D perception, including object detection, semantic segmentation, and occupancy prediction.
• Develop and optimise multimodal networks fusing LiDAR, radar, and camera data for off-highway autonomous vehicles.
• Contribute to Vision-Language-Action (VLA) models integrating perception and language inputs for physical AI.
• Optimise training and inference pipelines for real-time deployment on NVIDIA edge GPUs.
• Lead data initiatives for the perception stack, from data pipelines and curation to model evaluation.
• Collaborate with interdisciplinary teams to integrate perception systems into the full autonomy stack.

Required Qualifications:

• Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
• Proficient in Python; strong experience with PyTorch.
• Deep expertise in 3D perception and sensor fusion (LiDAR-camera-radar).
• Practical experience deploying deep learning models in real time on embedded hardware (TensorRT, ONNX, Jetson/Orin).
• Solid understanding of machine learning, deep learning, and autonomous systems.

Preferred Skills:

• Experience with transformer-based perception architectures or VLA models.
• Familiarity with BEV perception and multitask learning.
• Experience with C++, ROS, and mmdetection.
• Experience with perception in off-road, adverse-weather, or otherwise challenging conditions.
• Proven track record of publications or significant industry experience in deep learning for autonomous driving or robotics. We offer What We Offer:

• Build physical AI for the world's largest off-highway machinery – making them intelligent, safe, and ready for every tough task
• Join the pioneer in intelligent robotics backed by Point Nine & other Tier 1 investors
• Combine cutting-edge robotics research in end-to-end learning & Vision Language Action Model with real-world heavy mobile equipment
• Tailor your own career path, whether you like to become technical specialist or technical team lead
• Experience a great team culture, beverages, and an amazing office environment

Benefits:

• Attractive compensation package and stock options.
• Beverages on-site and regular social events.
• Engage with top-tier researchers, engineers, and thought leaders.
• Influence the future of robotic technologies and tackle significant technological challenges.
• Assistance with relocation to Berlin.

Role Overview: We are looking for a skilled Machine Learning Engineer with expertise in perception to strengthen our team. This role requires a strong background in computer vision, deep learning, and multimodal sensor fusion. The successful candidate will lead the development of real-time perception systems that enable autonomous heavy machinery to understand and operate in harsh, unstructured environments.