Machine Learning Engineer Graduate (E-Commerce Recommendation/Search Alliance) - 2025 Start (MS)

Team Introduction:
The e-commerce alliance team aims to serve merchants and creators in the e-commerce platform to meet merchants' business indicators and improve creators' creative efficiency. By cooperating with merchants and creators, we aim to provide high-quality content and a personalized shopping experience for TikTok users, create efficient shopping tools at seller centers, and promote cooperation between merchants and creators.

We are looking for talented individuals to join our team in 2025. 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 TikTok

Successful candidates must be able to commit to an onboarding date by end of year 2025.

We will prioritize candidates who are able to commit to these start dates. Please state your availability and graduation date clearly in your resume.

Applications will be reviewed on a rolling basis. We encourage you to apply early.

Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally.

Online Assessment
Candidates who pass resume evaluation will be invited to participate in TikTok's technical online assessment through HackerRank.

Responsibilities:
- Design and implement cutting-edge machine learning algorithms to enhance our recommendation systems.
- Apply machine learning, natural language processing, and computer vision techniques to analyze e-commerce data and interactions.
- Deploy and maintain scalable recommendation models for real-time query handling and product suggestions.
- Analyze complex datasets to derive insights that guide strategic decisions.
- Stay up-to-date with the latest machine learning developments, incorporating them into your work.