Machine Learning Engineer Graduate (E-Commerce Governance) - 2027 Start

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TikTok's Governance and Experience Algorithm team is seeking a Machine Learning Engineer Graduate for a 2027 start in Seattle, onsite, full time. You will identify risk and violation signals in e-commerce contexts such as products, carts, short videos and live streams, develop algorithms to detect fraud and risky merchants or creators, and optimize large scale libraries with deduplication and clustering. You will contribute to data construction, instruction tuning and alignment for ecommerce focused large models and explore reinforcement learning for audit scheduling. Responsibilities align with a solid foundation in ML and hands‑on coding in Python, Go or C++, plus familiarity with NLP, CV, multimodal or graphs. Applications are rolling; you may apply to two roles and must state onboarding date by year end and clearly indicate graduation date. Tips: tailor your resume to show end‑to‑end projects and measurable impact, highlight collaboration and communication, and confirm you are able to work onsite in Seattle.

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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. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
Successful candidates must be able to commit to an onboarding date by the end of the year. 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 our Company and its affiliates' jobs globally. 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.

Minimum Qualifications:
- Individuals who are completing or have recently completed a Bachelor's degree in Software Development, Computer Science, Computer Engineering or a related discipline.
- Solid coding skills, ability to develop in a Linux environment, proficient in Python, Go, or C++
- Solid foundation in data structures/algorithms, proficient in machine learning/deep learning theory, and rich practical experience
- Familiar with 1-2 areas in natural language processing, computer vision, multimodal, graph algorithms, search algorithms, text/data mining, and LLM
- Excellent analytical and problem-solving skills, passionate about challenging problems

Preferred Qualifications:
- Individuals who are completing or have recently completed a Master's degree in Software Development, Computer Science, Computer Engineering or a related discipline.
- Good team spirit and strong communication skills
- Experience in platform governance/audit/risk control/content security or overseas internet/e-commerce business