Research Scientist Graduate
TikTok
About the Role
The Recommendation algorithm team at TikTok plays a central role in driving critical product decisions and platform growth. This is a fast-paced, collaborative, and impact-driven team composed of machine learning researchers and engineers. This opening is part of the general hiring process for the TikTok Recommendation organization. Applications will be evaluated by multiple teams to ensure the best match based on skills and interests. As a graduate, you will have opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must commit to an onboarding date by the end of the year.
Key Responsibilities
- Build industry-leading recommendation systems to improve user experience, content ecosystem, and platform security.
- Deliver end-to-end machine learning solutions to address critical product challenges.
- Own the full stack machine learning system, optimizing algorithms and infrastructure to enhance recommendation performance.
- Collaborate with cross-functional teams to design product strategies and build solutions for growing TikTok in important markets.
Requirements & Tech Stack
- Proficient coding skills in C++, Python, or other programming languages.
- Strong understanding of algorithms and data structures.
- Experience in Machine Learning.
- Familiarity with at least one Deep Learning framework, e.g., PyTorch, Tensorflow.
- Experience in one or more of the following areas: NLP, CV, Recommender Systems, Machine Learning.
- Effective communication and teamwork skills.
Qualifications
- Individuals completing or recently completed a Bachelor's/Master's degree in Computer Science or a related discipline.
- Authors of published papers in accredited academic conferences is an advantage.
- Winners of algorithm and machine learning competitions such as ACM and Kaggle is an advantage.
Note: Applications will be reviewed on a rolling basis. Candidates can apply to a maximum of two positions globally across TikTok and its affiliates.