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Motional

All-electric driverless robotaxi service provider

Machine Learning Intern - Behaviors Research

AI ResearchConfirmed live in the last 24 hours
InternshipCentral Area, SingaporeNo salary listed

About the Job

Requirements

  • Currently enrolled in a Master's or PhD program in Computer Science, Electrical Engineering, Robotics, or a similar technical field of study.
  • Have a strong Machine Learning research background with publications in top-tier conferences such as RSS, ICRA, CoRL, CVPR, ICRL, ICML, or NeurIPS.
  • Be proficient in Python coding and PyTorch or another commonly used deep learning framework.
  • Collaborate effectively with researchers and engineers.
  • Have strong communication and interpersonal skills.

Responsibilities

  • Conduct research on driving behavior topics such as future prediction, motion planning, agent simulation, and scenario generation.
  • Work with large-scale internal datasets to demonstrate the effectiveness of research.
  • Collaborate with different teams to deploy research results into autonomous vehicles.
  • Publish research results in papers and patents.

Desired Qualifications

  • Previous experience in autonomous driving.

About the Company

Motional

All-electric driverless robotaxi service provider

Motional builds fully driverless, all-electric robotaxis for urban transportation. Its vehicles operate within ride-hailing and delivery networks by partnering with these services to provide autonomous mobility options. The cars use advanced sensors and software to navigate city streets safely, while a real-time Command Center monitors every robotaxi, allowing human agents to supervise operations, offer remote assistance, and ensure passenger safety. Motional differentiates itself through continuous real-time oversight, a scalable B2B model, and a focus on integrating autonomous vehicles into existing mobility networks rather than selling to individual consumers. The company aims to make driverless transportation safe, reliable, and accessible at scale, reducing costs and increasing efficiency for partners and riders alike.

Company size
501-1,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$927.2M
Headquarters
Boston, MA
Founded
2020

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