Machine Learning Engineer

Sensmore
Berlin, Potsdam
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Collaboration","Data initiatives","Real-time deployment"]

Build real-time 3D perception systems for autonomous heavy machinery, including object detection, semantic segmentation, and occupancy prediction. Fuse LiDAR, radar, and camera data for off-highway vehicles, and extend perception into Vision-Language-Action (VLA) models. Own perception data pipelines and model evaluation, then optimize training and inference for deployment on NVIDIA edge GPUs and embedded hardware.

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FursaFursa
Sensmore
Sensmore
1 month ago

Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build real-time 3D perception systems for autonomous heavy machinery, including object detection, semantic segmentation, and occupancy prediction. Fuse LiDAR, radar, and camera data for off-highway vehicles, and extend perception into Vision-Language-Action (VLA) models. Own perception data pipelines and model evaluation, then optimize training and inference for deployment on NVIDIA edge GPUs and embedded hardware.
Location: Berlin, Potsdam
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Design and implement deep learning models for 3D perception, including object detection, semantic segmentation, and occupancy prediction.
  • •Develop and optimize 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.
  • •Optimize training and inference pipelines for real-time deployment on NVIDIA edge GPUs.
  • •Lead perception stack data initiatives and collaborate with interdisciplinary teams to integrate perception into the full autonomy stack.

Pay and Benefits

Perks:EquityRelocation

Key Requirements

  • •Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field.
  • •Proficiency in Python with strong experience using 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.
Education:Master's in Computer Science, Robotics, Electrical Engineering
Skills:CollaborationData initiativesReal-time deployment
Tech Stack:PythonPyTorchLiDARRadarCameraVLADeep learningNVIDIA edge GPUsTensorRTONNXJetsonOrinC++ROSMmdetectionTransformersBEV perceptionMultitask learningMultimodal networks

Company Brief

Sensmore
Develops AI-driven acoustic sensing and anomaly-detection solutions for industrial equipment. Uses edge audio sensors and machine learning to monitor machinery, detect faults early, and enable predictive maintenance to reduce downtime and maintenance costs.
Industry: Industrial Automation
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