Staff Machine Learning Engineer

About the role

XPeng Motors is one of China’s leading smart electric vehicle (EV) companies. We design, develop, and manufacture smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers. We strive to transform smart electric vehicles with technology and data, shaping the mobility experience of the future.

We are looking for machine learning engineers with strong reinforcement learning design skills and software development skills. In this role, you will implement, evaluate and deploy reinforcement learning based methods for planning problems. You will be working with a team of the best-in-class computer vision, AI systems, and software engineers to ensure the world-leading performance on our autonomous vehicles. Your work will be supported by massive data from our autonomous fleet to deliver the best autonomous driving solution.

Job Responsibilities:

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Research and develop algorithms for reinforcement learning based methods for planning.

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Design efficient model architectures that can run in real-time on the computing platform of our vehicles.

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Develop offline data-driven ML infrastructure for fast adaptation of the planning ML models.

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Deliver on target planning SW and closely work with the perception team to achieve the most intelligent autonomous driving systems.

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Work with massive field-testing data to continuously improve autonomous driving technologies.

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Designing, running, and analyzing experiments and testing to evaluate the efficiency of our solutions on real-world data.

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Partnering with system software engineering specialists to ship industrial strength ML models.

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Communicating and collaborating with multi-functional teams.

Minimum Skill Requirements:

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Education in Engineering, Robotics, Computer Science with a focus on Reinforcement Learning, Artificial Intelligence, or a related field, or equivalent experience.

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Strong experience in applied reinforcement learning including model architecture design, model training, data mining, and data analytics.

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3-5 + years of experience working with machine learning frameworks such as PyTorch, Tensorflow.

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Strong Python programming experience with software design skills.

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Solid understanding of data structures, algorithms, code optimization and large-scale data processing.

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Excellent problem-solving skills.

Preferred Skill Requirements:

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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.