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Machine Learning Graduate (E-Commerce Governance-CV/NLP/Multimodal/LLM)-2026 Start (PhD)

ByteDance
San Jose, United Statesfull_timeVerifiedPosted 14 Feb 2026
💰 $259,200/yr($136,800/yr$259,200/yr)

About the role

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 ByteDance

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.

The base salary range for this position in the selected city is $136800 - $259200 annually.

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Company

ByteDance

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