Machine Learning Graduate (E-Commerce Governance-CV/NLP/Multimodal/LLM)
3 Months ago • All levels • $137,750 PA - $237,500 PA
Research Development
Job Description
The Governance and Experience Algorithm team is seeking a Machine Learning Graduate to combat risks, build an e-commerce ecosystem, and improve platform service capabilities. The role involves identifying algorithms for risk/violation issues in e-commerce scenarios (products, videos, live streaming), detecting fraudulent behaviors, optimizing algorithms for deduplication and clustering, data construction, instruction fine-tuning for large models, and exploring reinforcement learning algorithms for dispatching and audit scheduling. The successful candidate must be able to commit to an onboarding date by end of year 2026. Applications will be reviewed on a rolling basis.
Must Have:
- Identify algorithms for risk/violation in e-commerce.
- Detect fraudulent behaviors and risky merchants.
- Optimize algorithms for deduplication and clustering.
- Data construction, instruction fine-tuning for large models.
- Explore reinforcement learning algorithms.
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.
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