AI Engineer
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Pleasanton / United States or Leuven / Belgium · AI & Perception · Full-time
About Mantis Robotics
Mantis Robotics builds systems that work safely alongside people, to make robotic automation accessible to anyone. Safety is only as good as the perception behind it: that's where you come in.
The role
You'll push the science behind how our robots see and understand the humans around them: perception, sensor fusion, and learning-based methods that turn raw sensor data into safe, real-time decisions. This is applied research with a direct line to shipped products.
What you'll do
- Design and train models for human detection, pose/motion estimation, and proximity awareness in dynamic industrial scenes.
- Develop sensor-fusion pipelines across different type of sensors.
- Get models running in real time on constrained/edge hardware: accuracy that survives contact with the factory floor.
- Partner with control, firmware, and safety teams to fold perception into the safety architecture.
- Prototype fast, evaluate rigorously, and set the standard for how we measure perception performance.
What skills are needed?
- Strong foundations in machine learning and computer vision (detection, segmentation, tracking, 3D perception, point clouds).
- Fluency in Python and deep-learning frameworks (PyTorch and/or TensorFlow).
- Sensor fusion and probabilistic estimation (Kalman/particle filters, multi-sensor calibration).
- Real-time and edge inference: quantization, optimization, and deployment on embedded/GPU targets.
- Clear scientific communication and a rigorous, data-driven mindset.
Which experience is needed?
- MS or PhD in Computer Science, Robotics, EE, Applied Math, or a related field — or equivalent industry track record.
- Demonstrated experience building perception or ML systems that made it into real products or robots.
- Bonus: publications in top ML/CV/robotics venues, experience with safety-critical or industrial systems, or work with human-motion prediction.
Why join Mantis?
- Work on perception where the stakes are real: your models keep people safe.
- Committed team with a short path from idea to deployment.
- Contribute to the future of the entire robotics industry.
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