TikTok Ads Business Integrity team is looking to build a next-generation content understanding system for TikTok monetization to reward high quality user experience and advertiser value.
Requirements
- Strong foundational experience in deep learning, NLP, and generative models (LLMs, diffusion models, etc.).
- Hands-on experience with large-scale model training, RLHF (Reinforcement Learning from Human Feedback), and multimodal learning (text, image, video).
- Proficiency in one or more deep learning frameworks such as PyTorch, JAX, or TensorFlow, with familiarity in distributed training frameworks.
- A track record of publications or active research/paper review at top-tier conferences (NeurIPS, ICML, ACL, CVPR, etc.) or equivalent.
- Knowledge of AI safety, alignment, and adversarial robustness, with an interest in responsible AI development.
- Experience in developing agentic systems utilizing reinforcement learning.
- Strong engineering skills with the ability to deploy models at scale and optimize for performance.
Responsibilities
- Lead research and development of advanced generative AI technologies, including LLMs, multimodal models (text/image/video), and deepfake detection/synthesis, focusing on optimizing performance across pre-training, SFT, RLHF, and AI safety.
- Design and deploy cutting-edge AIGC solutions for content understanding and monetization in diverse applications such as ads, e-commerce, short video, and live streaming, contributing to the creation of next-generation AI-driven ecosystems.
- Drive advancements in LLM-based agents using reinforcement learning to enable autonomous reasoning, planning, and interactive capabilities, addressing real-world challenges in dynamic environments.
- Innovate techniques to improve the efficiency of large-scale model training and inference, including distillation, quantization, and speculative decoding, for scalable and practical deployment in production.
- Collaborate with interdisciplinary teams to transition research breakthroughs into production-grade AI services, ensuring robust, low-latency, and cost-effective solutions.
- Stay at the forefront of generative AI research by contributing to patents, publications, and open-source projects, while actively monitoring and contributing to the latest industry trends and innovations.
Other
- Final year Ph.D or recent Ph.D graduates in Computer Science, AI, Machine Learning, or related fields by 2026 (or equivalent industry experience).
- Work on cutting-edge AI research with real-world impact in a fast-growing tech ecosystem.
- Collaborate with world-class researchers and engineers to push the boundaries of generative AI.
- Have great access to competitive compensation, trending AI/ML projects, flexible work culture, and opportunities for rapid career growth.
- As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.
