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 Software Engineers specializing in Large Language Models (LLM) to join their team.
Requirements
- BS/MS in Computer Science, Artificial Intelligence, or a related field.
- Have prior experience working with training or inference of large language models.
- 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.
- Excellent problem-solving skills and a creative mindset to address complex AI challenges.
- 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.
Responsibilities
- Lead the creation of next-generation, high-capacity LLM platforms and innovative products.
- 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.
- 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.
- Apply 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.
Other
- Commit to an onboarding date by end of year 2026.
- State availability and graduation date clearly in resume.
- Apply to a maximum of two positions and will be considered for jobs in the order you apply.
- Minimum Qualifications: BS/MS in Computer Science, Artificial Intelligence, or a related field.
- 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, among others.
