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Machine Learning Graduate; E-Commerce Governance-CV​/NLP​/Multimodal​/LLM PhD

Job in San Jose, Santa Clara County, California, 95111, USA
Listing for: ByteDance
Full Time position
Listed on 2026-06-06
Job specializations:
  • Software Development
    Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: Machine Learning Graduate (E-Commerce Governance-CV/NLP/Multimodal/LLM) - 2026 Start (PhD)
Team Introduction:
The Governance and Experience Algorithm team was established in September 2020 and its main job is to support the following businesses with the most advanced AI technology: - Combat any kinds of risks/violations issues in E-commerce scenarios.

- Build an E-commerce ecosystem and improve platform service capabilities We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with Byte Dance Successful candidates must be able to commit to an onboarding date by end of year 2026.

Please state your availability and graduation date clearly in your resume. Applications will be reviewed on a rolling basis - we encourage you to apply early. Responsibilities:

- Responsible for identifying algorithms for risk/violation/low-quality issues in e-commerce scenarios such as products, shopping cart short videos, and live streaming with products.

- Responsible for mining and identifying algorithms to detect fraudulent behaviors and identify risky, violated, or low-quality merchants and creators.

- Responsible for optimizing algorithms for large-scale brand libraries, products, and content deduplication/clustering.

- Responsible for data construction, instruction fine-tuning, CoT, alignment, and other work for large models in the e-commerce domain, aiming for ultimate effect optimization in the e-commerce domain.

- Responsible for exploring reinforcement learning and operational research algorithms in intelligent dispatching and intelligent audit scheduling to improve audit quality and efficiency.

Minimum Qualifications:

- Individuals who are completing or have recently completed a PhD degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.

- Solid coding skills, ability to develop in a Linux environment, proficient in Python, Go, or C++ - Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience - Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM - Excellent analytical and problem-solving skills, passionate about challenging problems

Preferred Qualifications : - Good team spirit and strong communication skills - Experience in platform governance/audit/risk control/content security or overseas internet/e-commerce business
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