Spring 2023: Deep Learning and Controls Intern

Boston, Massachusetts, United States

Applications have closed

Motional

Motional harnesses deep industry experience in our mission to develop and deploy autonomous vehicles and to make driverless technology safe and reliable.

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The Motional global headquarters are located at 100 Northern Avenue in Boston, MA. Nestled in the busting Seaport district with sweeping views of Boston Harbor and downtown Boston, the offices are located close to major transit lines and a quick walk to various restaurants and popular attractions.

Deep Learning and Controls Intern

Motional is seeking a deep learning and controls intern who will be part of a team that is developing the core technology of autonomous vehicles on a daily basis. You will directly contribute to Motional’s driverless future by working on to the development of motion planning algorithms, running in real-time on the autonomous vehicle. Your internship allows for a research phase as well as hands-on work on Motional’s software stack

What You'll Be Doing

  • You will use Koopman operators to develop a high-fidelity dynamics model of an autonomous vehicle
  • Combine deep learning methods with Koopman models to improve model accuracy and controller performance
  • Evaluate prediction accuracy, controller performance, and computational speed of Koopman-based model and show promising results

What We're Looking For

  • Previous work with Koopman operators
  • Previous work with deep learning for prediction and control
  • Solid python and/or C++ skills

Bonus Points (not required)

  • Experience with ML-based system identification
  • Prior experience with source control such as Git

Why you should join us:

  • Motional offers a research-driven environment with the tools and hardware to progress quickly and perform real-world experiments
  • The team you will be working with is very knowledgeable and provides easy access to feedback and valuable experience

Motional is a driverless technology company making self-driving vehicles a safe, reliable, and accessible reality.

The Motional team is made up of engineers, researchers, innovators, dreamers and doers, who together are creating a first-of-its-kind technology with the potential to transform the way we move. We’re behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's most-established public robotaxi fleet.

As a leader in an emerging industry that has the promise of creating safer, more reliable and accessible transportation for all, it’s imperative we have a diverse workforce, create an inclusive culture, and understand the communities we operate in around the world. 

Diversity, Equity and Inclusion is fundamental to Motional’s success. That’s why we’ve established a team to ensure DEI is at the forefront of the candidate and employee experience, beginning with the hiring process and continuing throughout your career. We also partner with organizations like the National Society of Black Engineers, the Society of Hispanic Professional Engineers, and the Society of Women Engineers to ensure our DEI work is informed by the latest thinking and approaches.

Strategically formed by Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit  www.Motional.com and follow us on Twitter, LinkedIn, Facebook, Instagram and YouTube.

 

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Tags: Deep Learning Git Machine Learning Python Research

Perks/benefits: Career development Salary bonus

Region: North America
Country: United States
Job stats:  53  9  0

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