Autonomous Vehicle Intern, Perception, Auto Labeling

We are seeking a highly motivated Research Intern (Perception, Auto Labeling) to join our Auto Labeling team to help advance our Offline Perception system to the next level with multimodal sensor fusion. 

The Auto Labeling team aims to develop algorithms to produce high-quality 4D annotations automatically at scale. This is critical for the future of autonomous driving as the Machine Learning models trained from large-scale annotated datasets have become one of the key solutions, whereas the cost and throughput of manual labeling cannot scale up with the amounts of data generated from our fleets’ daily operations.

As part of the Auto Labeling team, you will be able to collaborate and learn from our world-class researchers and engineers, exploring multimodal sensor fusion approaches to improve the object detection in our Offline Perception system. This is a unique opportunity for students to conduct cutting-edge research with access to our high-quality internal datasets as well as state-of-the-art computing infrastructure. The research outcome will have the potential to be published in the top-tier conferences as well as being deployed in our auto labeling pipeline.

If you are a self-motivated computer science/engineering graduate student who is passionate about research and technology in autonomous driving, this is the place for you.

What you'll be doing:

• Propose and design neural networks to improve the perception performance, with a focus on multimodal sensor fusion.
• Implement and conduct experiments to train, evaluate and analyze the neural network models.
• Write reports, patents and papers.

What we're looking for:

• Pursuing a Master or PhD degree in Computer Science, Machine Learning, or a related field.
• Strong programming skills in Python
• Experience with at least one deep learning framework (PyTorch is preferred).
• Experience in designing, training and evaluating neural networks for object detection, segmentation, sensor fusion, or other related fields.
• Strong verbal and written communication skills.
• Self-motivated and capable of conducting independent research.
• Able to commit to a full time internship for at least six months.

Bonus Points (not required):

• Proven track record of publications in relevant conferences (CVPR, NIPS, ICCV, ICML, ECCV ..).
• Relevant industry experience.
• Experience on multimodal sensor fusion for object detection.

If you don’t meet 100% of the qualifications outlined above - that’s okay! We encourage you to apply if you think this is a role that would make you excited to come into work every day and that you can deliver the results we need.

Why you should join us:

• Accessibility to large scale internal datasets and computing infrastructure to conduct cutting-edge research.
• Opportunity to get both academic publications as well as industrial impact.
• Collaboration and guidance from world-class researchers and engineers from the industry.

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.