- Location
- Chengdu - China
- Workplace
- Onsite
- Type
- Full-time
- Department
- Engineering
- Source
- Workday
Description
Monolithic Power Systems, Inc. (MPS) is one of the fastest growing companies in the Semiconductor industry. We are worldwide technical leaders in Integrated Power Semiconductors and Systems Power delivery architectures. At MPS, we cultivate creativity, are passionate about sustainability, and are committed to providing leading-edge products and innovation to our customers. Our portfolio of technology helps power our world ---come join our team and see how YOU can make a difference.
Job Description:
Summary:
Implement, manage, support/maintain the data application and security of AI in MPS.
RESPONSIBILITIES:
- Responsible for end-to-end data processes for AI projects, including data collection, cleaning, labeling, augmentation, and the construction and management of high-quality datasets.
- Develop and optimize data labeling tools, supporting data preparation required for large model training (e.g., SFT, RM data) and knowledge graph construction.
- Collaborate with AI teams to improve LLMs performance through data solutions.
- Other assignments from Supervisor.
REQUIREMENTS:
- Data Capabilities: Proficient in Python, SQL, and data processing technologies like Pandas/Spark; possesses experience in the secondary development of data labeling tools.
- AI Knowledge: Familiar with machine learning data formats and requirements; understanding of LLMs data construction methods; mastery of data augmentation techniques.
- Comprehensive Qualities: High standards for data quality; excellent communication skills; ability to accurately understand algorithm and business requirements.
- Good people and communication skills (English, Chinese).
Monolithic Power Systems, Inc. (MPS) is an Equal Opportunity Employer and embraces diversity in our employee population. It is the policy of MPS to provide equal opportunity to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or special disabled veteran, marital status, pregnancy, genetic information, or any other legally protected status.
