Staff Machine Learning Engineer, Robotics
About The Position
XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. With this mission, we are looking for passionated and seasoned machine learning engineers who will develop robotics technology together with us to shape the new future of humanoid robots. You will work on a lean team without boundaries. Your influence will be on every single product that is shipped, without boundaries as well.
Requirements
- Strong python programming skills & software development, and strong experience with any major deep learning framework.
- 3-5 years of industry experience.
- Solid background in machine learning, natural language processing, computer vision, speech or data science.
- Open-minded, collaborative & humble personality.
Nice To Haves
- Deep understanding of multimodal LLM modern architectures, "under the hood" LLM training knowledge, quantization techniques, etc.
- Record of publications, innovations or leadership.
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.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
