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Research Scientist
Machine Learning, Planner/Behavior Prediction
Confirmed live in the last 24 hours
Locations
Mountain View, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Structures & Algorithms
C/C++/C#
Pytorch
Tensorflow
Python
Requirements
  • 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
  • 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
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
DiDi Global

10,001+ employees

Mobile transportation platform
Company Overview
World's leading mobile transportation platform