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XPENG

engineering opportunity

Machine Learning Engineer - LLM, AI & Robotics

The role involves fine-tuning pre-trained LLMs for specific use cases in humanoid robots and autonomous driving cars, as well as developing and maintaining training and deployment pipelines. Additionally, the engineer will explore novel ways to generate synthetic data to enhance data diversity and quality.

Santa Clara, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at XPENG?

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 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

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-minded, collaborative and excellent communication skills
  • Preferred Skill

Requirements

  • * Deep understanding of language model modern architectures, ‘under the hood’
  • LLM training knowledge, quantization techniques, etc.
  • * Familiarity of large language models (LLMs) relevant technologies, such as
  • SFT, RLHF, prompt engineering, RAG, etc.
  • * Record of publications, innovations or leadership.
  • What do we provide:
  • * A fun, supportive and engaging environment
  • * Opportunity to make significant impact on transportation revolution by the
  • means of
  • 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 US
  • 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 or marital status or any other prescribed category set forth in federal
  • or state regulations.

Which skills does this role require?

Machine LearningNatural Language ProcessingComputer VisionSpeechDataPythonDeep LearningModel QuantizationSynthetic DataCollaborationCommunicationAPI CallingHumanoid RobotsMulti-Modal LLMWeight SharingAIRoboticsElectric VehicleseVTOLIntelligent MobilityData DiversityData QualityTraining PipelinesDeployment PipelinesInnovation

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