LLM Algorithm Research Scientist - Code AI intern (AI Innovation Center) - 2026 Soaring Star Talent Program

Role Summary

Team Introduction

The TikTok AI Innovation Center is a department focused on building AI infrastructure and driving cutting-edge research in AI. We explore industry-leading AI technologies, including large language models (LLMs) and multimodal large models, with the goal of developing models that can understand multilingual content and vast amounts of video data, ultimately delivering a better content consumption experience for users. In the Code AI domain, we leverage the powerful code understanding and reasoning capabilities of LLMs to enhance program performance and R&D efficiency.

Project Introduction

Multimodal foundation large models (VLM) represent a research hotspot in the industry and a critical technology for TikTok's business scenario applications. In 2024, TikTok's Innovation Center developed VFM V1, a multimodal large model tailored for TikTok's business scenarios. It matches the performance of the best open-source model Qwen VL on public test sets, while significantly outperforming all other foundation models on TikTok's business test sets. In the future, we aim to continuously develop foundation models with efficient perception and reasoning capabilities, capable of handling multilingual and massive video content understanding algorithms to deliver a better content consumption experience for users.

Project Challenges

Enhance the multimodal perception encoder: The current encoder uses a fixed frame rate. We need to explore more efficient adaptive frame rates while considering the integration of modalities such as audio and user behavior.

How to fuse multimodal perception and thinking capabilities to promote stronger comprehensive perception and cognitive abilities of the model.

Requirements

1. a PhD or Master's degree in Computer Science, Machine Learning, NLP/CV, Systems, or related fields (or equivalent research experience).
2. Strong programming and debugging skills in Python and/or C/C++; solid data structures & algorithms foundation.
3. Hands-on experience in at least one:
4. LLMs / generative AI training or adaptation (pretrain, SFT, RL, etc.)
5. Code intelligence (code understanding/generation, static analysis, compilers/tooling, program repair)
6. Agentic systems (tool-use, planning, multi-step reasoning, environment interaction)
7. Strong experimental rigor: hypothesis-driven iteration, reproducibility, and clear communication.

Preferred Qualifications

1. Publications in top venues (e.g., NeurIPS/ICML/ICLR/ACL/CVPR, and/or systems venues like OSDI/NSDI/SOSP, etc.).
2. Experience with one or more of:
3. Long-context modeling, retrieval systems, RAG over code, repo-scale indexing
4. RLHF / verifier-based RL / preference optimization for code tasks
5. Multi-agent collaboration frameworks and evaluation
6. Performance engineering: profiling (CPU/heap), latency optimization, cost optimization, or GPU kernel work
7. Programming / competitions (ACM/ICPC, IOI/NOI, Kaggle, TopCoder) is a plus.

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com

About the Company

The Global Business Solutions (GBS) team is responsible for the revenue growth of the TikTok business, and our teams include Sales, Marketing, Ops, Account Managers, Agency and partnerships, as well as Marketing Science.

At TikTok, our Global Business Solutions (GBS) team plays a key role in generating revenue by promoting our advertising solutions, onboarding new clients, driving ad campaigns, and more. As the TikTok community grows at an unprecedented speed around the world, our GBS team leads groundbreaking projects that are changing the landscape of the advertising industry in real time.

We're seeking an analytically driven, and detail-oriented Client Solutions Manager (CSM) Intern to join our Ecommerce Team. As a CSM, you will partner closely with Client Partners and Client Solutions Managers to drive revenue by identifying opportunities, leveraging data insights, and delivering consultative solutions for advertisers.

This role centers on client education, relationship growth, data analysis, and campaign success. You will provide strategic recommendations to both clients and internal teams, ensuring campaigns achieve business objectives while optimizing long-term partnerships. Success in this role requires strong data analytics skills, adaptability in a fast-paced environment, and a test-and-learn mindset to uncover the best solutions.