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Machine Learning Engineer

Sen*** · Berlin Office
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Berlin OfficeOnsite
Remuneration
Not specified
Location
Berlin Office
Visa sponsorship
Sponsors visa

Job summary

Sen*** automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training.

Benefits

Build physical AI for the world's largest off-highway machinery – making them inJoin the pioneer in intelligent robotics backed by Point Nine & other Tier 1 invCombine cutting-edge robotics research in end-to-end learning & Vision LanguageTailor your own career path, whether you like to become technical specialist orExperience a great team culture, beverages, and an amazing office environmentAttractive 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

Qualifications

  • 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

Responsibilities

  • 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.
  • Required

Skills

English

Degrees

AssociateMasterPhD

Languages

EnglishGerman

Industry

AutomotiveEnergy

Company size

Smb

Relocation

Yes