Responsibilities:

  • Design data-driven algorithms to improve the safety, generalization and reliability of self-driving algorithms, including: framing the open-ended real-world driving problems into well-defined ML problems; building training / evaluation pipelines to solve the problem, and landing them in real world driving.
  • Gracefully handling many complex situations involving social aspects (merging, negotiating narrow roads, etc), while dealing with noisy, uncertain, and incomplete information.
  • Conduct the research of ML planning and decision-making learning in the autonomous driving area. Write and publish papers in the relevant top-tier AI conferences.
  • Collaborate with other teams, including the ML infrastructure, perception and systems engineering teams.

Qualifications:

  • Post Graduate degree (MS or PhD) in Computer Science, Robotics, Electrical Engineering or Mathematics with specialization in Machine Learning, Reinforcement Learning or Robotics
  • Experience solving problems using Machine Learning with Tensorflow/PyTorch or equivalent tools
  • Ability to collaborate within and across teams
  • Strong experience programming in C++ or Python with robust and efficient code

Preferred:

  • Experience specifically with applying Machine Learning to solve motion planning or related robotics problems
  • Solid understanding of machine learning, deep learning algorithms and computational complexity.
  • Published and/or presented papers at ICML, NIPS, KDD, CVPR, ICCV, WWW or similar top-tier conferences and events.
  • Experience with Deep Learning Models (e.g. RNN/LSTM, CNN, VAE, GAN, etc.) using Machine Learning with Tensorflow/PyTorch or equivalent tools.

 

About the Company:

 
Didi Chuxing (“DiDi”) is the world’s leading mobile transportation platform. We’re committed to working with communities and partners to solve the world’s transportation, environmental, and employment challenges by using big data-driven deep-learning algorithms that optimize resource allocation.
 
Didi Chuxing’s Autonomous-Driving team was established in 2016 and has grown to a comprehensive research and development organization covering HD mapping, perception, behavior prediction, planning and control, infrastructure and simulation, labeling, hardware, mechanical, problem diagnosis, vehicle modifications, connected car, and security, among others. We’re developing and testing self-driving vehicles in China and the United States.
 
In August 2019, DiDi upgraded its autonomous driving unit to an independent company to focus on R&D, product application, and business development related to self-driving technologies. The new company will integrate the resources and technology of DiDi’s platform, continue to increase investment in R&D, and deepen collaboration with auto industry partners.

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