ByteDance is looking to develop and operate a big model service platform that offers businesses Model-as-a-Service solutions (MaaS) to both the big model vendors and users, and is seeking talented researchers specializing in Large Language Models (LLM) to join their dynamic team.
Requirements
- Have prior experience working with training or inference of large language models (PyTorch or Tensorflow).
- Strong understanding of cutting-edge LLM research (e.g., long context, multi modality, finetuning, alignment, RL, agent, etc.) and possess practical expertise in effectively implementing these advanced systems.
- Proficiency in programming languages such as Python or C++ and a track record of working with deep learning frameworks or agent frameworks.
- Experience with building LLM Applications, have a deep understanding of Agentic frameworks, RAG, Test-time scaling, Reasoning, Evaluation, Multi-modality, etc.
- Experience with deploying AI applications into production environments, prompt optimizing, testing and evaluation of AI systems, LLM application & agent development is desirable.
- Experience or publications in multi-modal is a plus, including image/video/audio understanding, text-to-image, text-to-video, etc.
Responsibilities
- 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.
- Work closely with cross-functional teams to plan and implement projects harnessing LLMs for diverse purposes and vertical domains.
- Maintain a deep passion for contributing to the success of large models is essential in this innovative and fast-paced team environment.
- 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.
Other
- Ph.D. in Computer Science, Artificial Intelligence, or a related field.
- Excellent problem-solving skills and a creative mindset to address complex AI challenges. Demonstrated ability to drive research projects from idea to implementation, producing tangible outcomes.
- Published research papers or contributions to the LLM community, top-tier conference (NeurIPS, ICML, ICLR, ACL, CVPR, ENMLP) publications would be a significant plus.
- 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
- Day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits
