Machine Learning Engineer

Join Sensmore as a Machine Learning Engineer in Berlin, focusing on perception systems for autonomous heavy machinery.

• 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.
• 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.

• 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
• 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.