About the Role

Join our team at Alibaba Group as an AI Engineer, where you will be at the forefront of revolutionizing B2B e-commerce through the development of a groundbreaking AI search product. Leveraging cutting-edge Large Language Model (LLM) technology, we are creating a brand new AI search engine to streamline the entire purchasing process for B2B customers.

Responsibilities

  • Deliver full projects by defining the data structure, framework, design, and evaluation metrics for AI solution development and implementation.
  • Develop and deploy Large Language Models (LLMs) to empower search and agent systems for a variety of applications.
  • Identify new and upcoming product innovation areas by interacting with potential external and internal collaborators.
  • Identify undefined problems in existing technology and engage stakeholders and leaders to address them.

Qualifications

  • PhD, Master's, or Bachelor's degree in Computer Science, Engineering, Mathematics, or related fields.
  • Ability to implement and verify state-of-the-art NLP or Computer Vision algorithms.
  • Experience in successfully applying machine learning approaches to real-world personalization problems.
  • Experience with building large language models.
  • Knowledge of statistical methods, with strong mathematical skills.
  • Excellent problem-solving and programming skills in Python.

Salary

The pay range for this position at commencement of employment is expected to be between $162,400/year and $266,000/year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.

Additional Information

This is an on-site position located in Sunnyvale, California, United States. If hired, the employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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