Deep Learning Engineer

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 real-world navigation.

Responsibilities:

Implement, train, evaluate, and deploy deep learning models for autonomous vehicle motion planning.
Optimize and test real-time 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:

Bachelor's 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 problem-solving 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 real-time systems.
Familiar with the autonomous-vehicle domain.