Data Scientist (LLM&Unsupervised Learning) - Applied AI

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About the Team
The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

About the Role:
We are looking for an AI/ML technical expert, focusing on the application of multimodal LLMs, unsupervised learning, and clustering algorithms. The candidate will work closely with product, operations, policy, and engineering teams to leverage advanced natural language processing, computer vision, and deep learning technologies to solve business problems and extract data insights.

What You'll Do:
1. Leverage multimodal large language models, natural language processing, machine learning, or computer vision techniques to design and build core product capabilities, extract insights, and optimize monetization strategies;
2. Develop innovative algorithms and build prototypes for business problems using the latest deep learning, machine learning, statistical, and optimization techniques;
3. Use unsupervised learning and clustering algorithms to discover potential patterns and trends from large datasets and propose data-driven business solutions;
4. Collaborate with product managers and cross-functional teams to define user stories and success metrics, managing data projects from 0 to 1;
5. Use methods like AB testing to validate the business value and expected revenue of projects and continuously optimize model performance;
6. Work with engineering teams to deploy data models and scale solutions.

Qualifications

Minimum Qualifications:
1. In-depth knowledge of computer science and the mathematical fundamentals of statistics, machine learning, and analytics;
2. At least 3 years of experience in software development or model/data development, with hands-on experience in applying LLM technologies (such as Test Time Scaling, Chain of Thought, Retrieval Augmented Generation, Supervised Fine-Tuning) to solve business problems;
3. Strong experience with unsupervised learning, clustering algorithms, and extracting data insights, recognizing patterns, and developing models;
4. Proficiency in Python and SQL, with experience in ML/DL frameworks like TensorFlow, PyTorch;

Preferred Qualifications:
1. Expertise in SQL, Hive, Presto, or Spark, and experience with large-scale datasets;
2. Solid understanding of building data pipelines, model development, testing, and deployment;
3. Experience with CI/CD (such as git) and cloud services (such as AWS/GCP/Azure) is a plus;
4. Strong English communication skills, with the ability to clearly explain technical and analytical content to both technical and non-technical teams;
5. A strong intellectual curiosity, excellent problem-solving and quantitative analysis skills, with the ability to deconstruct issues, identify root causes, and propose solutions.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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