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greenhouse

Staff Machine Learning Engineer

XPENG
CAN
Senior · 5+ years experience
USD 179400-303600 / year
Discovered 1 months ago
pythonpytorchtensorflow

Full Job Posting

  • Research and develop algorithms for reinforcement learning based methods for planning.
  • Design efficient model architectures that can run in real-time on the computing platform of our vehicles.
  • Develop offline data-driven ML infrastructure for fast adaptation of the planning ML models.
  • Deliver on target planning SW and closely work with the perception team to achieve the most intelligent autonomous driving systems.
  • Work with massive field-testing data to continuously improve autonomous driving technologies.
  • Designing, running, and analyzing experiments and testing to evaluate the efficiency of our solutions on real-world data.
  • Partnering with system software engineering specialists to ship industrial strength ML models.
  • Communicating and collaborating with multi-functional teams.
  • Education in Engineering, Robotics, Computer Science with a focus on Reinforcement Learning, Artificial Intelligence, or a related field, or equivalent experience.
  • Strong experience in applied reinforcement learning including model architecture design, model training, data mining, and data analytics.
  • 3-5 + years of experience working with machine learning frameworks such as PyTorch, Tensorflow.
  • Strong Python programming experience with software design skills.
  • Solid understanding of data structures, algorithms, code optimization and large-scale data processing.
  • Excellent problem-solving skills.
  • MS or PhD level education in Engineering, Robotics or Computer Science with a focus on Reinforcement Learning, Artificial Intelligence, or a related field, or equivalent experience.
  • Related experience in autonomous driving or robotics production solutions.
  • Hands on experience in developing RL based planning engine for autonomous driving or robotic system.
  • Experience in model deployment and optimization tools such as ONNX and TensorRT.
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make a significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.

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