Role Description:
Develop and implement deep learning models for autonomous vehicle motion planning utilizing expert demonstrations. You will design evaluate and optimize machine learning models for safe and efficient realworld navigation.
Responsibilities:
- Implement train evaluate and deploy deep learning models for autonomous vehicle motion planning.
- Optimize and test realtime motion planning algorithms.
- Design conduct and analyze experiments for both novel approaches and performance improvements.
- Process large datasets both structured and unstructured.
- Staying up to date with relevant research and projects.
Requirements :
- Bachelors degree or higher in Computer Science or other engineering field.
- Strong foundation in machine learning principles and deep learning techniques.
- Familiarity with motion planning algorithms.
- Proficiency in Python and experience with deep learning frameworks such as PyTorch.
- Comfortable working in Linux environment.
- Strong problemsolving and analytical skills.
- Ability to quickly learn and adapt to new technologies and research findings.
- Comfortable working with large datasets.
- Excellent communication and teamwork skills.
Preferred Skills and Qualifications:
- Experience with imitation learning or reinforcement learning.
- Experience developing in C / CUDA for realtime systems.
- Familiar with the autonomousvehicle domain.
Remote Work :
Yes
Employment Type :
Fulltime