Machine Learning Graduate; E-Commerce Governance BS​/MS

About the Team

We Are The Governance & Experience Algorithm Team — a Trailblazing AI Force At The Forefront Of Building a Trusted, Efficient E-commerce Ecosystem. Established In 2020, We Leverage Graph Neural Networks, Multi-Objective Optimization, Time Series Prediction, And Large Language Models (LLM) To Tackle Some Of The Most Complex Challenges In E-commerce.

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.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to Byte Dance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

• Lead Cutting-Edge AI Projects
• 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.
• Solve Complex Business Challenges by developing multi-task models using MMoE and dynamic loss functions, driving measurable improvements in platform product, service, and logistics health.
• Transform supply chains by optimizing warehouse product quality qualification strategies to cut missing recalls and reduce warehouse costs.
• Unleash RPD/RPR growth through causal inference frameworks, identifying hidden correlations between CCR and user behavior to design personalized recommendations.
• Redefine Industry Standards by optimizing LLM reasoning with DPO/GRPO to enhance fraud detection, outperforming traditional SFT methods. Enhance tabular data modeling for better explainability in e-commerce risk assessments.
• Construct heterogeneous graphs modeling product - seller - creator - video - user relationships, enabling improvements in product lifecycle insights and detection of similar product patterns.
• Build unified time-series forecasting models across products, sellers, creators, videos, and users, achieving SOTA performance in predicting inventory shortages and demand surges.

Minimum Qualifications

• Bachelor's degree or above in computer science or related field
• Proficient in Python/C++ and machine learning frameworks (PyTorch/Tensor Flow)
• Deep experience with graph neural networks, time series analysis, or LLM
• Track record of delivering AI solutions with measurable business impact
• Passion for tackling ambiguous challenges and translating ideas into scalable solutions

Preferred Qualifications

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

Base Salary
: $112,725 - $177,840 annually (varies by qualification, skill, competency, and location).

Benefits may vary depending on the nature of employment and country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Criminal history may impact job duties including interacting with clients, handling confidential information, and exercising sound judgment.

Byte Dance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at