Intern Machine Learning
Intern Machine Learning
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1 Vacancy
Job Description
Job Responsibilities:
- Collaborate with the autonomous driving/parking team to design and implement reinforcement learning algorithms for path planning.
- Develop simulation scenarios to test and validate path planning strategies.
- Analyze and optimize the performance of path planning algorithms in various driving and/or parking scenarios.
- Assist in integrating reinforcement learning models with existing autonomous driving/parking frameworks.
- Document research findings through internal research reports present results to the team and contribute to publications in toptier conferences if suitable results are achieved.
Minimum Qualifications:
- BS degree (currently pursuing MS) in Computer Science Electrical Engineering Robotics or a related field with a strong focus on machine learning deep learning reinforcement learning etc.
- 3 years of relevant work/academic experience.
- Major in Computer Science Electrical Engineering Robotics or a related field with a strong focus on machine learning computer vision and/or natural language processing.
- Strong understanding of reinforcement learning principles and algorithms.
- Proficiency in programming languages such as Python and experience with machine learning libraries (e.g. TensorFlow PyTorch).
- Familiarity with the C programming language.
- Familiarity with path planning techniques and autonomous driving concepts.
- Excellent problemsolving skills and the ability to work independently and as part of a team.
- Strong communication skills and the ability to present complex technical information clearly.
- Strong programming skills in Python and familiarity with deep learning libraries (e.g. PyTorch TensorFlow).
Preferred Qualifications:
- Currently pursuing or recently graduated from a PhD program in Computer Science Electrical Engineering Robotics or a closely related discipline.
- Publication record in reputable AI/ML/CV/NLP conferences or journals.
- Experience with Autonomous Driving algorithms and systems.
Employment Type
Intern
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