Machine Learning Scientist Graduate - Global E-commerce Content Recommendation - 2026 Start (BS/MS)
TikTok.com
Office
Seattle, Washington, United States
Full Time
Team Introduction
Global E-Commerce Content Recommendation team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.
In today’s content-driven commerce landscape, traditional collaborative filtering and supervised learning methods are no longer sufficient. We’re actively exploring how large language models (LLMs) and generative AI can fundamentally transform the recommendation process: from retrieval to ranking, and from static listings to dynamic, generative user-item interactions.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
- Develop and deploy ML models to power personalized e-commerce recommendations
- Collaborate cross-functionally with product, infra, and data teams to translate business goals into technical solutions
- Evaluate model performance in both offline and online (A/B) testing to drive user experience and GMV
- Focused on scaling, robustness, and production-quality deployment
Global E-Commerce Content Recommendation team plays a central role in the company, driving critical product decisions and platform growth. The team is made up of machine learning researchers and engineers, who support and innovate on production recommendation models and drive product impact. The team is fast-pacing, collaborative and impact-driven.
In today’s content-driven commerce landscape, traditional collaborative filtering and supervised learning methods are no longer sufficient. We’re actively exploring how large language models (LLMs) and generative AI can fundamentally transform the recommendation process: from retrieval to ranking, and from static listings to dynamic, generative user-item interactions.
We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at TikTok.
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 TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
Responsibilities
- Develop and deploy ML models to power personalized e-commerce recommendations
- Collaborate cross-functionally with product, infra, and data teams to translate business goals into technical solutions
- Evaluate model performance in both offline and online (A/B) testing to drive user experience and GMV
- Focused on scaling, robustness, and production-quality deployment
Machine Learning Scientist Graduate - Global E-commerce Content Recommendation - 2026 Start (BS/MS)
Office
Seattle, Washington, United States
Full Time
September 24, 2025