Jobs and Careers
XP
Senior/Staff Machine Learning Engineer
XPeng MotorsSanta Clara, United Statesfull_timeVerifiedPosted 27 Aug 2024
💰 $300,000/yr($180,000/yr – $300,000/yr)
About the role
At Xpeng Robotics Center, we are dedicated to the development of state-of-the-art humanoid robot technology, including robotics locomotion, manipulation, navigation, and human-robot interaction powered by large language models. We possess a world-class team of software and hardware professionals.
As a Machine Learning Engineer with us, you will act as a vital conduit between artificial intelligence and the physical world. You will have the opportunity to make a significant impact in the frontier of humanoid robots, pushing the boundaries of what these technologies can achieve in real-world applications. Join us to shape the future interaction between humans and machines.
Job Responsibilities:
- Leverage a variety of cutting-edge machine learning algorithms including end-to-end imitation learning, reinforcement learning, and Large Language Models (LLM) to propel the development of humanoid robots.
- Develop algorithms that empower robots to learn and evolve through dynamic interactions with the physical world.
- Design machine learning models, refine training and optimization processes, orchestrate deployment strategies, while contributing to collaborative efforts across teams.
- Venture into uncharted engineering and technology territories, contribute to direction setting and decision-making processes.
- Hold a Master’s degree or higher in Computer Science or a related field. Candidates possessing a strong background in domains such as computer vision, natural language processing, or speech recognition are highly sought after.
- Have a robust understanding of foundational machine learning principles and their applications.
- Be proficient in programming languages such as Python or C++, coupled with extensive experience in deep learning frameworks such as Pytorch and TensorFlow.
- Be humble, open, and demonstrate a commitment to continuous learning and teamwork.
- Experience with large language models and multimodal large language models, including supervised fine-tuning, orchestration, data generation, and reinforcement learning with human feedback.
- Background in robotics manipulation, navigation, or autonomous driving technologies
What do we provide:
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A fun, supportive and engaging environment
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Opportunity to make significant impact on transportation revolution by the means of advancing autonomous driving
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Opportunity to work on cutting edge technologies with the top talent in the field
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Competitive compensation package
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Snacks, lunches, and fun activities
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