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# Machine Learning Engineer

- **Company:** Sensmore
- **Location:** Potsdam, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Python (Programming Language), Machine Learning, Object Detection, Sensor Fusion, Graphics Processing Unit (GPU), Pytorch, Deep Learning, Model Validation, Information Technology, ONNX (Open Neural Network Exchange) Format, TensorRT, Lidar, GPT, Data Pipelines
- **Published:** July 23, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=e08f39b0c859bc7d

## About the Role

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., * 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.

## Description

* 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.


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