Machine Learning Scientist Graduate; Global E-commerce Content Recommendation BS​/MS

Global E-Commerce Content Recommendation team plays a central role in the company, driving critical product decisions and platform growth. The team is comprised of machine learning researchers and engineers who support and innovate on production recommendation models to deliver product impact. It 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 actively explore how large language models (LLMs) and generative AI can 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 have the opportunity to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at Tik Tok.

Successful candidates must be able to commit to an onboarding date by the end of 2026 and should state their availability and graduation date clearly.

• 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.
• Focus on scaling, robustness, and production‑quality deployment.

• Final year with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Proficient coding skills in Python and hands‑on experience with deep learning frameworks such as Tensor Flow or PyTorch.
• Demonstrated ability to conduct rigorous research and analyze large‑scale data.
• Strong problem‑solving skills and a high sense of ownership.

• Publications in ML/AI conferences (e.g., NeurIPS, ICML, ACL, SIGIR, KDD, CVPR, Rec Sys).
• Experience with recommendation systems, retrieval models, or multi‑modal learning.
• Familiarity with building and deploying real‑time, scalable ML systems in production.
• Background in e‑commerce or related applied AI research domains.

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