Machine Learning Graduate (E-Commerce Governance)

Responsibilities

• Build graph-powered risk networks to uncover product clusters and high-risk seller/creator groups to reduce false advertising.
• Develop LLM-based multi-modal systems using cross-modal fusion (text, images, behavioral data) to detect low-quality products.
• Lead time-series forecasting innovation for logistics performance metrics like delivery delays and cancellation rates.
• Develop multi-task models using MMoE and dynamic loss functions to improve platform health.
• Optimize LLM reasoning with DPO/GRPO to enhance fraud detection capabilities.
• Construct heterogeneous graphs to model complex relationships between products, sellers, creators, and users.

Requirements

• Bachelor's degree or above in Computer Science or a related field.
• Proficiency in Python or C++.
• Experience with machine learning frameworks such as PyTorch or TensorFlow.
• Deep experience with Graph Neural Networks (GNN), time series analysis, or Large Language Models (LLM).
• A track record of delivering AI solutions with measurable business impact.
• Ability to commit to an onboarding date by the end of 2026.

Preferred Qualifications

• Strong communication skills to collaborate cross-functionally and influence stakeholders.
• Experience in anti-fraud, prediction/forecasting, or e-commerce governance.

Benefits

• Competitive base salary and eligibility for discretionary bonuses and restricted stock units.
• Comprehensive medical, dental, and vision insurance from day one.
• 401(k) savings plan with company match.
• Paid parental leave and wellbeing benefits.
• Paid time off including 10 holidays, 10 sick days, and 17 days of personal time.

About the Company

ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut, and Pico, ByteDance makes it easier and more fun for people to connect, consume, and create content globally.