Machine Learning Engineer

Company Overview

sensmore specializes in integrating advanced robotics and Physical AI to automate heavy machinery like wheel loaders, enabling them to adapt in real-time to dynamic environments without prior training. Their technology serves mining, construction, and related sectors by enhancing productivity and safety.

Role Summary

The company seeks a knowledgeable Machine Learning Engineer focused on perception systems to join their team. This role involves crafting real-time perception solutions utilizing deep learning and sensor fusion to empower autonomous operation of heavy machinery in challenging, unstructured settings.

Key Responsibilities

• Create and deploy deep learning architectures for 3D perception, including tasks such as object detection, semantic segmentation, and occupancy forecasting.
• Develop and refine multimodal fusion networks combining LiDAR, radar, and camera inputs tailored for off-highway autonomous vehicles.
• Contribute to models that integrate visual and language inputs to enhance Physical AI capabilities.
• Optimize training workflows and real-time inference pipelines suitable for NVIDIA edge GPUs.
• Oversee data management for perception technologies, including pipeline construction, dataset curation, and comprehensive model evaluation.
• Work closely with cross-functional teams to embed perception modules within the complete autonomy framework.

Qualifications

• Master’s degree or PhD in Computer Science, Robotics, Electrical Engineering, or a related discipline.
• Proficient in Python with substantial experience using PyTorch.
• Deep knowledge in 3D perception and sensor fusion involving LiDAR, camera, and radar data.
• Hands-on experience deploying deep learning models on embedded edge devices, including use of TensorRT, ONNX, and NVIDIA Jetson platforms.
• Strong foundational understanding of machine learning, deep learning techniques, and autonomous systems.

Preferred Expertise

• Familiarity with transformer-based perception architectures and Vision-Language-Action (VLA) models.
• Knowledge of Bird’s Eye View (BEV) perception and multitask learning methodologies.
• Experience programming with C++, Robot Operating System (ROS), and mmdetection toolkit.
• Exposure to perception challenges in off-road or adverse weather conditions.
• Proven achievements such as academic publications or notable industrial contributions in autonomous driving or robotic deep learning.

What We Offer

• Opportunity to create Physical AI solutions for the world’s largest off-highway machinery, enhancing their intelligence and safety.
• Work at a pioneering robotics firm supported by leading investors including Point Nine.
• Engage in cutting-edge robotics research integrating end-to-end learning with real-world heavy equipment applications.
• Flexible career development paths, ranging from technical specialization to leadership roles.
• An excellent workplace culture with access to beverages and an inspiring office environment.

Benefits

• Competitive salary package including stock option plans.
• In-office refreshments and frequent social gatherings.
• Collaboration with leading researchers, engineers, and industry pioneers.
• Impact the future of robotic technology by solving high-impact technical challenges.
• Support provided for relocation assistance to Berlin.