Machine Learning Engineer

Company Overview

sensmore specializes in automating the world's largest heavy machinery using advanced intelligence. Their unique Physical AI technology enables machines like wheel loaders to swiftly adjust to changing environments and perform new tasks without prior instruction. They focus on integrating state-of-the-art robotics into platforms that drive intelligence and automation solutions, significantly enhancing productivity and safety in mining, construction, and related sectors.

Position Summary

The company is seeking an experienced Machine Learning Engineer with a strong background in perception technologies to join their team. The ideal candidate will have expertise in computer vision, deep learning, and fusion of multiple sensor types. This role is pivotal in creating real-time perception systems that empower autonomous heavy equipment to function effectively in difficult and unstructured surroundings.

Key Responsibilities

• Architect and develop advanced deep learning models focusing on 3D perception tasks such as object detection, semantic segmentation, and occupancy forecasting.
• Design and optimize fusion networks that combine LiDAR, radar, and camera inputs for autonomous off-highway vehicles.
• Contribute to the creation of Vision-Language-Action (VLA) models that integrate sensory perception with language inputs for Physical AI applications.
• Enhance training and inference processes to enable real-time model deployment on NVIDIA edge GPU hardware.
• Lead all data-related activities for the perception stack including pipeline development, dataset curation, and performance assessments.
• Collaborate closely with cross-disciplinary teams to incorporate perception modules into the larger autonomy architecture.

Required Qualifications

• Master's or Doctorate degree in Computer Science, Robotics, Electrical Engineering, or a closely related discipline.
• Proficiency in Python programming and substantial experience with the PyTorch framework.
• Deep knowledge of 3D perception and multimodal sensor fusion involving LiDAR, cameras, and radar.
• Hands-on expertise with deploying real-time deep learning models on embedded hardware platforms (e.g., TensorRT, ONNX, Jetson, Orin).
• Strong understanding of machine learning, deep neural networks, and autonomous system architectures.

Preferred Experience

• Familiarity with transformer-based perception models or Vision-Language-Action architecture.
• Experience with Bird’s Eye View (BEV) perception techniques and multitask learning approaches.
• Knowledge of C++, Robot Operating System (ROS), and mmdetection frameworks.
• Background working on perception systems under challenging conditions such as off-road terrain or adverse weather.
• A proven record with publications or substantial industry contributions in deep learning for robotics or autonomous vehicles.

Benefits and Work Environment

• Opportunity to develop physical AI technologies for the world's largest off-highway machinery, enhancing intelligence, safety, and operational readiness.
• Work at the forefront of intelligent robotics innovation, supported by top-tier investors including Point Nine.
• Integrate cutting-edge robotics research encompassing end-to-end learning and VLA models with real-world heavy equipment applications.
• Flexible career development options, with paths toward becoming a technical specialist or team leader.
• Enjoy a positive team culture, office beverages, and an inspiring workplace setting.
• Competitive salary package inclusive of stock options.
• Onsite refreshments and regular social gatherings.
• Collaboration with elite researchers, engineers, and thought leaders.
• Engage in shaping the future of robotic technologies while addressing challenging problems.
• Relocation assistance available for candidates moving to Berlin.