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Machine Learning Graduate (E-Commerce Governance)-2026 Start (PhD)

ByteDance

$145,000 - $250,000
Aug 16, 2025
San Jose, CA, US
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ByteDance's Governance & Experience Algorithm Team is seeking to solve complex challenges in e-commerce by leveraging AI. This includes reducing false advertising, improving product quality, optimizing logistics, and enhancing user trust and experience through advanced algorithms and data analysis.

Requirements

  • Proficient in Python/C++ and machine learning frameworks (PyTorch/TensorFlow)
  • Deep experience with graph neural networks, time series analysis, or LLM
  • Track record of delivering AI solutions with measurable business impact
  • Experience in anti-fraud, prediction/forecasting, e-commerce governance, or related fields

Responsibilities

  • Build graph-powered risk networks to uncover similar product clusters and high-risk seller/creator groups in emerging markets, reducing false advertising incidents in global regions.
  • Develop LLM-based multi-modal systems using cross-modal fusion (text, images, behavioral data) to detect false advertising and low-quality products.
  • Deploy AI-powered product business suggestions to improve seller compliance and user trust.
  • Lead time-series forecasting innovation for logistics performance metrics (e.g., delivery delays, cancellation rates), driving improvement in the e-commerce experience through predictive analytics.
  • Develop multi-task models using MMoE and dynamic loss functions, driving measurable improvements in platform product, service, and logistics health.
  • Optimize LLM reasoning with DPO/GRPO to enhance fraud detection, outperforming traditional SFT methods.
  • Construct heterogeneous graphs modeling product - seller - creator - video - user relationships, enabling improvements in product lifecycle insights and detection of similar product patterns.

Other

  • 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.
  • Passion for tackling ambiguous challenges and translating ideas into scalable solutions
  • Strong communication skills to collaborate cross - functionally and influence stakeholders