At Mercedes-Benz Research & Development North America (MBRDNA), we are committed to delivering world-class automotive technologies that push the boundaries of what is possible. Our teams of highly skilled engineers and designers use cutting-edge software and technology, to enhance the driving experience and reduce environmental impact.

At Mercedes-Benz Research & Development North America (MBRDNA), we are committed to delivering world-class automotive technologies that push the boundaries of what is possible. Our teams of highly skilled engineers and designers use cutting-edge software and technology, to enhance the driving experience and reduce environmental impact.

We are seeking a highly motivated student for a research internship to explore and advance work on reinforcement learning-based path planning algorithms. You will work closely with our team of experts and help contribute to the development of safe and efficient navigation systems for our autonomous vehicles.

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 top-tier 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 problem-solving 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

Benefits/Perks:

PTO
Sick Time

Additional Information:

The current hourly rate for this position is as follows and may be modified in the future: $28 (Undergraduate Students)/$32 (Graduate Students)

Why should you apply?

Here at MBRDNA, you create digital ecosystems around cars, you design a language between humans and machines, you make a car even more intelligent - you make the new reality for cars. MBRDNA was honored as one of the "Best Places to Work" by BuiltIn in January 2024, a testament to our commitment to creating an exceptional work environment. At each of our offices, we foster a culture of collaboration and continuous learning, ensuring every team member can thrive and innovate.

Benefits for Full-Time* Employees Include:

Medical, dental, and vision insurance for employees and their families
401(k) with employer match
Up to 18 company-paid holidays
Paid time off (flexible time off for salaried employees), sick time, and parental leave
Tuition assistance program
Wellness/Fitness reimbursement programs
Internships & Contractors excluded from Full-Time Employee benefits

MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce. MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system, MBRDNA employees, or send to any MBRDNA location. MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes.

Mercedes-Benz Research and Development North America, Inc.

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Mercedes-Benz Research & Development North America, Inc.

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