Machine Learning Internship
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Job Description
About Motional:
Motional is a driverless technology company focused on making autonomous vehicles a safe, reliable, and accessible reality. A joint venture between Hyundai Motor Group and Aptiv, Motional is commercializing a world-class driverless system. They boast significant achievements, 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. Headquartered in Boston, Motional has operations in the US and Asia. Their mission goes beyond just developing driverless cars; they aim to create safer roadways, more equitable transportation options, and improve communities. The company emphasizes a diverse and inclusive work environment.
Job Description: Machine Learning Internship
This is a full-time, on-site internship in either Boston, MA, or Pittsburgh, PA. The intern will work alongside the team responsible for developing key machine learning technologies for autonomous vehicles, including projects like nuScenes, PointPillars, Point Painting, MotionTrack End-to-End Tracking, PBP Trajectory Prediction, and DriveIRL.
Key Responsibilities:
• Research and develop innovative machine learning strategies for challenging problems in autonomous driving.
• Collaborate with various teams across Motional, gaining exposure to multiple engineering disciplines and projects.
• Execute assigned tasks, meet deadlines, and independently explore new ideas.
• Contribute to the delivery of ML technologies that adhere to Motional’s high standards of quality, scientific rigor, and innovation.
Required Qualifications:
• Currently enrolled in a Masters or PhD program in Computer Science, Robotics, Applied Mathematics, Statistics, Physics, or a similar technical field.
• Demonstrated research and development interest through academic projects or publications in top-tier conferences (RSS, ICRA, CoRL, CVPR, ICRL, ICML, NeurIPS, etc.).
• Relevant work experience (internships, full-time industry experience, or research) in computer vision, content recommendation, non-linear optimization, reinforcement learning, deep learning, or robotics.
• Strong teamwork and collaboration skills.
• Excellent Python coding skills and experience with PyTorch or other deep learning frameworks.
Salary and Benefits:
The salary range is estimated at $35,000 – $55,000 USD annually (base salary only; bonuses and equity may be included). Benefits may include medical, dental, vision, 401k with company match, health savings accounts, life insurance, and pet insurance. Eligibility for benefits varies depending on the position.
