Turkey / Qatar · Remote Part Time AI team
You will design, train, and optimize the perception models that power ROZOR robots, working with robotics data to build algorithms for environmental awareness across object detection, semantic segmentation, behavior prediction, and multi-modal fusion.
Responsibilities
- Train deep learning models for object detection, tracking, and classification.
- Develop semantic segmentation and mapping models.
- Build behavior and motion prediction models.
- Build data pipelines and work with multi-modal sensor data.
- Integrate ML models into robot systems.
- Optimize inference performance on embedded compute.
- Validate through testing and collaborate with perception and autonomy teams.
What you bring
- Bachelor's/Master's degree (or current student) in Computer Science, AI, Robotics, or related field.
- Strong foundation in machine learning and deep learning.
- Proficiency in Python, PyTorch or TensorFlow.
- Experience with detection, segmentation, tracking, or classification models.
- Hands-on experience with image or point-cloud datasets.
- Familiarity with OpenCV, NumPy, and ML tooling.
- Strong debugging and experiment evaluation capabilities.
- Ability to work independently in a fast-moving robotics environment.
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