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Machine Learning - Motion Planning Research Intern
Posted on 8/23/2021
INACTIVE
Locations
International
Experience Level
Intern
Desired Skills
Data Structures & Algorithms
Management
Pytorch
Python
Requirements
  • Masters degree or PhD in Computer Engineering/Science or relevant field
  • Experience in C++ and/or Python is a must
  • Knowledge of Control and Planning for Robotics Applications
  • 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 development of a robotics system
  • Strong problem solving skills
Responsibilities
  • Perform prototyping of a 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
Motional

501-1,000 employees

Designer & manufacturer of autonomous vehicles
Company Overview
Motional is making driverless vehicles a safe, reliable, and accessible reality. The company is commercializing a world-class driverless system that is building the future of the automotive industry.
Benefits
  • 401K: 401K with up to 7.5% match
  • time Off: Unlimited sick and vacation days
  • Transportation: Commuter and fitness benefits
  • Healthcare: 3 plan options to support diverse needs
  • IVF: Fertility assistance
Company Core Values
  • Win Together
  • Safety As Our Bedrock
  • Build For Everyone. Be Everyone.
  • Take Ownership
  • Deliver The Future