<p>About the Team: The Applied Machine Learning Enterprise team combines system engineering and machine learning to develop and operate the big model service platform that offers businesses Model-as-a-Service solutions (MaaS) to both the big model vendors and users. We are actively seeking talented researchers specializing in Large Language Models (LLM) to join our dynamic team. We are looking for talented individuals to join our team in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with ByteDance. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Candidates can apply for a maximum of TWO positions and will be considered for jobs in the order you applied for. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.</p> <p>Responsibilities: In this role, you will be at the forefront of cutting-edge research and development of advanced techniques for MaaS solutions including model post-training: fine-tuning (SFT), reinforcement learning (RL), reasoning, evaluation, test-time techniques, prompt optimization, multi-modality, and also LLM application/agent development. Your primary responsibility will be to:</p> <ul> <li>Lead the investigation, exploration, and creation of next-generation, high-capacity LLM platforms and innovative products, while keeping close track with the latest AI technologies. </li><li>Work closely with cross-functional teams to plan and implement projects harnessing LLMs for diverse purposes and vertical domains. </li><li>Maintain a deep passion for contributing to the success of large models is essential in this innovative and fast-paced team environment. </li><li>Design and develop AI agents for a wide range of AI native applications, including multi-modality(image/video/audio). Continuously improve the agent's ability of understanding, reasoning, tool selection, taking actions at blazing fast speed. </li></ul>