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Machine Learning Internship, Behaviors Research

icon building Company : Motional
icon briefcase Job Type : Internship

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Job Description - Machine Learning Internship, Behaviors Research

We are looking for a highly motivated intern to join our Behaviors team and conduct research on Machine Learning for prediction and planning. Here, you will work with the team behind nuScenes, PointPillars, Point Painting, PBP Trajectory Prediction and DriveIRL to deliver ML technologies aligned with the core values of Motional ensuring the highest standards of quality, scientific rigor and innovation.


The internship will take place in our Singapore office and we expect a full-time internship period of at least 5 months. We offer flexible working hours and allow for remote work. The candidate will however have to live in Singapore for the duration of the internship.


What you’ll be doing:



  • Conduct research on driving behavior related topics, such as future prediction, motion planning, agent simulation, scenario generation

  • Work with large-scale internal datasets to demonstrate the effectiveness of your research

  • Collaborate with different teams to deploy your research results into the autonomous vehicles 

  • Publish the research results in papers and patents


What we are looking for:



  • Enrolled in a Masters or PhD program in Computer Science, Electrical Engineering, Robotics or similar technical field of study

  • Strong Machine Learning research background with publications in any of the top-tier conferences(RSS, ICRA, CoRL, CVPR, ICRL, ICML, NeurIPS, etc.)

  • Proficiency in Python coding and PyTorch or other commonly-used deep learning frameworks

  • One-team mindset and effective collaboration with other researchers and engineers

  • Strong communication and interpersonal skills

  • Previous experience in autonomous driving is preferred

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We’re driven by something more.


Our journey is always people first.


We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.


Higher purpose, greater impact.


We’re creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it’s not only good for our business, it’s the right thing to do.  


Scale up, not starting up.


Our team is 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 longest-standing public robotaxi fleet. We’re driven to scale; we’re moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.


Formed as a joint venture between 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, LinkedInInstagram 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.

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About the Company

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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