Job Description

You will be joining our Applied Machine Learning team, a central team responsible for delivering state-of-the-art solutions powering our company's recommendations, ads, and search systems across various products. We own the end-to-end ML lifecycle, from ideation and research to building, deploying, and iterating on models in production. We are looking for candidates who are passionate about solving complex problems and have a strong foundation in machine learning theory and practice.
We are looking for a talented and motivated Research Scientist / Algorithm Engineer to join our team, where you will explore the deep integration of recommendation algorithms and large language models (LLMs) / multimodal understanding.

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:
- Conduct cutting-edge research on the fusion of recommendation systems and LLMs/multimodal models, with a focus on areas including LLM4Rec, cross-platform and cross-scenario Foundation Models, hundred-billion-parameter scale models, and multimodal large models.
- Drive the application and optimization of deep learning algorithms within TikTok products, spanning recommendation, advertising, multimodal understanding, and other compute-intensive domains.
- Collaborate closely with engineering teams to explore and validate novel algorithms under new architectures.

The base salary range for this position in the selected city is $128000 - $256000 annually.