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

Location:

Seattle

Team:
Technology

Employment Type:

Regular

Job Code: A251080A

• 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:
  • Develop 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:
  • Optimize 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.

The base salary range for this position in the selected city is $124,717 - $243,200 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the 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).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
• 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