Key skills
PythonPyTorchC++CMachine LearningDeep Learning
About this role
Role Overview
- Design and develop novel learning-based algorithms for decision-making and planning in complex physical environments.
- Advance model architectures for long-horizon reasoning, multi-agent interaction, and uncertainty-aware prediction.
- Integrate deep learning components into structured planning pipelines with clear formal objectives and safety constraints.
- Formulate problems mathematically and derive principled learning objectives grounded in real-world system requirements.
- Lead research directions from conception to full-scale production.
- Develop using Python (PyTorch or similar frameworks) as well as C++/GPU/Cuda.
Requirements
- M.Sc/Ph.D. in Computer Science, Electrical Engineering, Robotics, Machine Learning, Applied Mathematics, or a related field.
- Proven experience in machine learning and deep learning.
- Demonstrated ability to conduct independent research (publications in top-tier venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, etc.
- advantage).
- Strong programming skills in Python; solid C++ experience
- advantage.
- Experience in training large-scale models and working with real-world data.
- Intellectual curiosity, scientific ownership, and comfort operating in open-ended research environments.
Tech Stack
- Python
- PyTorch