greenhouse

Staff Machine Learning Engineer

XPENG

CAN

Senior · 5+ years experience

USD 179400-303600 / year

Discovered 2 weeks ago

pythonpytorchtensorflow

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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.