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Machine Learning Engineer - LLM, AI & Robotics
Machine Learning Engineer - LLM, AI & RoboticsXPENG • Santa Clara, CA, United States
Machine Learning Engineer - LLM, AI & Robotics

Machine Learning Engineer - LLM, AI & Robotics

XPENG • Santa Clara, CA, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

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.

Job Responsibilities

  • Fine‑tune the pre‑trained LLM on particular use cases in Humanoid Robots and Autonomous Driving Cars, e.g., chat, API calling, etc.
  • Work on efficient LLMs (e.g., small LLMs, weight sharing, model quantization, etc.) that can be deployed locally in Robots and Cars.
  • Develop and maintain the LLM (including multi-modal LLM) training and deployment pipelines that could scale to massive production.
  • Work on efficient and effective ways to leverage large‑scale datasets and computational resources.
  • Explore novel ways to generate synthetic data to improve data diversity & quality.
  • Communicate and align with different teams on product needs across the company.

Minimum Skill Requirements

  • Ph.D. in Computer Science or related fields.
  • Solid background in machine learning, natural language processing (NLP), computer vision, speech or data.
  • Experience in working with LLMs.
  • Strong Python programming skills & software development, and strong experience with any major deep learning framework.
  • Open‑mind, collaborative and excellent communication skills.
  • Preferred Skill Requirements

  • Deep understanding of modern language model architectures and the underlying training processes, including quantization techniques.
  • Familiarity with large language model training technologies such as SFT, RLHF, prompt engineering, RAG, etc.
  • Record of publications, innovations or leadership.
  • What We Provide

  • A fun, supportive and engaging environment.
  • Opportunity to make a significant impact on the transportation revolution by advancing autonomous driving.
  • Opportunity to work on cutting‑edge technologies with the top talent in the field.
  • Competitive compensation package.
  • Snacks, lunches, and fun activities.
  • The base salary range for this full‑time position is $148,909 - $252,000, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all U.S. locations. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training.

    We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status, marital status or any other prescribed category set forth in federal or state regulations.

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