Machine Learning Engineer, Robotics

Job Description

XPENG is seeking a Machine Learning Engineer to join their robotics team in Santa Clara, CA. The candidate will work on a lean team to develop robotics technology and shape the future of humanoid robots. The Machine Learning Engineer will be responsible for developing and maintaining machine learning models and exploring novel ways to improve data diversity & quality.

Responsibilities:

• Develop and maintain machine learning models (e.g. VLM, VLA, RL, etc.) training and deployment pipelines that could scale to massive production.
• Work on efficient foundation models (e.g. small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in humanoid robots.
• Work on efficient and effective ways to generate/leverage large scale dataset and computational resource.
• Explore novel ways to generate synthetic data to improve the data diversity & quality.
• Communicate and align with different teams on product needs across the company.

Requirements:

• Strong python programming skills & software development, and strong experience with any major deep learning framework.
• Solid background in machine learning, natural language processing, computer vision, speech or data science.
• Open-minded, collaborative & humble personality.

What XPENG offers:

• A fun, supportive and engaging environment
• Opportunities to make a significant impact on the future of transportation and robotics
• Opportunity to work on cutting edge technologies with the top talent in the field
• Competitive compensation package & benefits
• Snacks, lunches, and fun activities