Research Scientist Graduate

Research Scientist Graduate (Seed-Infra-Machine Learning Sys-US) - 2026 Start (PhD) Location: San Jose Team: Machine learning Employment Type: Regular Job Code: A Responsibilities The Seed-Infra team combines ML system engineering and the art of machine learning to develop and maintain massively distributed ML training and inference system/services around the world, providing high-performance, highly reliable, scalable systems for LLM/AIGC/AGI. In our team, you'll have the opportunity to build the large-scale heterogeneous system integrating with GPU/NPU/RDMA/Storage and keep it running stable and reliable, enrich your expertise in coding, performance analysis and distributed system, and be involved in the decision‑making process. You'll also be part of a global team with members from the United States, China and Singapore working collaboratively towards unified project direction. Responsible for the machine learning system development of the company's large-scale models, researching new applications and solutions of related technologies in areas such as search, recommendation, advertising, content creation, conversation, and customer service, meeting the growing demand for intelligent interaction from users, and comprehensively improving users' lifestyles and communication methods in the future world. Responsible for the design and development of the architecture of large-scale machine learning systems, solving technical difficulties such as high concurrency, high reliability, and high scalability of the system. Covering various sub‑directions of machine learning system, including resource scheduling, model training, model inference, data management, and workflow orchestration. Responsible for the research and introduction of advanced technologies in machine learning systems, such as the latest hardware architecture, heterogeneous computing systems, and compiler‑based optimization technologies. Working closely with the algorithm teams to optimize the algorithm and system jointly. Qualifications Minimum Qualifications Final year or recent PhD graduate with a background in Computer Science, related technical field or equivalent industrial research experience. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. Excellent coding ability, solid foundation in data structures and basic algorithms, proficient in C/C++ or Python, winners of ACM/ICPC, NOI/IOI and other competitions are preferred. Familiar with at least one mainstream machine learning framework (TensorFlow/PyTorch/Jax). Master the principles of distributed systems, and participated in the design, development, and maintenance of large‑scale distributed systems. Strong sense of responsibility, good learning ability, communication ability, and self‑motivation. Good communication and collaboration skills, able to explore new technologies with the team and promote technological progress. Preferred Qualifications Prior experience in large-scale projects or papers with great influence in the field of large models. Familiar with NLP, CV-related algorithms, and technologies, and experienced in large model training and RL algorithms. Experience in one of the following fields: CUDA, RDMA, AI Infrastructure, HW/SW Co‑Design, High‑Performance Computing (cutlass, NCCL), ML Hardware Architecture (GPU, Accelerators, Networking), ML for System, and Distributed Storage. Demonstrated a related technical experience from previous internship, work experience, coding competitions, or publications. Curiosity towards new technologies and entrepreneurship. High levels of creativity and quick problem‑solving capabilities. The base salary range for this position in the selected city is $136,800 - $259,200 annually. Benefits include 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; 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). For Los Angeles County (unincorporated) candidates: Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. About Doubao (Seed): Founded in 2023, the ByteDance Doubao (Seed) Team is dedicated to pioneering advanced AI foundation models. Our goal is to lead in cutting‑edge research and drive technological and societal advancements. Why Join ByteDance: Inspiring creativity is at the core of ByteDance's mission. Our innovative products help people authentically express themselves, discover and connect. We build value for communities, inspire creativity, and enrich life. Diversity & Inclusion: ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Reasonable Accommodation: ByteDance is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: #J-18808-Ljbffr