Machine Learning - Motion Planning Research Intern
Singapore, Central, Singapore
Motional’s Autonomous Mobility team is focused on developing, and commercializing autonomous vehicles and systems that enable point-to-point mobility via large fleets of autonomous vehicles in challenging urban driving environments. With talented teams working across the globe, from Boston to Singapore, Motional was the first company to deploy a commercial, point-to-point autonomous ride-hailing service in Las Vegas, Nevada.
With continued research, development, and both current and future commercial deployments, we are looking for talented and passionate people to join our team.
Work with leading engineers, research scientists, marketers and business development experts, all while enabling the future of mobility. At Motional, we believe that our mobility solutions have the power to change the world.
We are constantly working on improving our software stack and given the amount of data that we collect daily from both autonomous and manual driving we want to automate the process of improving our planner while utilizing this data. For this we are seeking a highly motivated Research Intern (Motion Planning). The candidate should expect to look into the latest research of learning-based motion planning which can involve both improving traditional hand-engineered motion planners with data or training full end-to-end motion planners. The candidate is expected to develop proof-of-concept algorithms in Python and integrate it with the nuPlan framework to evaluate the performance against a large internal database of data-driven simulation scenarios. It is expected that the candidate has prior experience with motion planning for mobile robots and that the candidate is well-versed in Python.
Please note that it will be in our Singapore office, and we would expect a minimum 5 months internship period.
How you'll make a difference:
Perform prototyping of cutting edge research and deploy the solutions on an autonomous vehicle - support a project development from start to finish
Contribute to core deep learning codebase for efficient training and testing pipelines
You will focus your research in Machine Learning based Motion Planning technique
Refine and improve the data-driven model according to the performance of AV in real world complex environment
Analyze and compare different combinations of different algorithms.
Tackle the challenge of autonomous drive through innovative software stacks that interface with all components of the automated driving vehicles
What You'll Bring:
Master’s degree or PhD in Computer Engineering/Science, Robotics or other relevant fields
Experience in Python
Knowledge of Motion Planning for Mobile Robots
Knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods.
Experience designing, training and analyzing neural networks
Experience with PyTorch or other deep learning frameworks
Experience in prototype development of a robotics system
Strong problem solving skills
Ability to put theory into practice
Knowledge of Controls for Mobile Robots
Experience with Model Predictive Control for example for trajectory optimization
Experience with stochastic optimization and uncertainty handling for trajectory optimization
Familiarity with nuScenes and/or nuPlan
Experience in C++
Motional is making driverless vehicles a safe, reliable, and accessible reality.
Our team is commercializing a world-class driverless system. The Motional team is behind some of the industry’s largest leaps forward in the last decade, 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. Strategically formed by Hyundai Motor Groupand Aptiv, Motional is fundamentally changing how people move through their lives.
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.