Bytedance - San Jose, CA
posted 3 months ago
As a Research Scientist in Applied Machine Learning at ByteDance, you will be at the forefront of developing and enhancing large-scale machine learning systems that power our innovative products. Your primary responsibility will be to design and develop the architecture of these systems, addressing technical challenges such as high concurrency, reliability, and scalability. You will work on various sub-directions of machine learning systems, including resource scheduling, model training, model inference, data management, and workflow orchestration. This role requires a deep understanding of advanced technologies in machine learning systems, including the latest hardware architectures and compiler-based optimization technologies. You will collaborate closely with algorithm teams to optimize both algorithms and systems, ensuring that our products meet the growing demand for intelligent interaction and improve users' lifestyles and communication methods. The Doubao Team, which you will be a part of, is dedicated to crafting the industry's most advanced large language models (LLMs). With a commitment to technological and social progress, the team conducts research in natural language processing, computer vision, and speech recognition. Leveraging substantial data and computing resources, the team has built a proprietary general-purpose model with multimodal capabilities, supporting over 50 downstream business services. As a member of this team, you will contribute to the development of cutting-edge applications in search, recommendation, advertising, content creation, conversation, and customer service, ultimately driving impact for our users and the company.