ByteDance
Software Engineer, Large Model System Graduate (Machine Learning Sys-US) - 2026
ByteDance, Seattle, Washington, us, 98127
Software Engineer, Large Model System Graduate (Machine Learning Sys-US) - 2026 Start (BS/MS)
Responsibilities We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by end of year 2026. The Applied Machine Learning - Machine Learning Systems team provides E2E machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and advanced chip technology and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion, language modeling and multi-modality models. Responsibilities include: 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. 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. Iterate and develop the system using customer-driven scenarios. Qualifications Minimum Qualifications: Final year or recent graduate with a background in Computer Science, related technical field or equivalent industrial experience. Master distributed, parallel computing principles; know the recent advances in computing, storage, networking, and hardware technologies. Familiar with the state-of-the-art machine learning algorithms and mainstream platforms (e.g., Tensorflow, Pytorch, MxNet). Master at least one or two programming languages in Linux environment such as C/C++, Go, Python, etc. Preferred Qualifications: Winners of ACM/ICPC, NOI/IOI and other competitions. Familiar with NLP, CV-related algorithms, and technologies, and experienced in large model training. Experience in GPU based high-performance computing. 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. Job Information The base salary range for this position in the selected city is $112725 - $177840 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Benefits may vary depending on the nature of employment and the country work location. Employees have 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. About ByteDance ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Diversity & Inclusion ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.
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Responsibilities We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by end of year 2026. The Applied Machine Learning - Machine Learning Systems team provides E2E machine learning experience and machine learning resources for the company. The team builds heterogeneous ML training and inference systems based on GPU and advanced chip technology and advances the state-of-the-art of ML systems technology to accelerate models such as stable diffusion, language modeling and multi-modality models. Responsibilities include: 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. 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. Iterate and develop the system using customer-driven scenarios. Qualifications Minimum Qualifications: Final year or recent graduate with a background in Computer Science, related technical field or equivalent industrial experience. Master distributed, parallel computing principles; know the recent advances in computing, storage, networking, and hardware technologies. Familiar with the state-of-the-art machine learning algorithms and mainstream platforms (e.g., Tensorflow, Pytorch, MxNet). Master at least one or two programming languages in Linux environment such as C/C++, Go, Python, etc. Preferred Qualifications: Winners of ACM/ICPC, NOI/IOI and other competitions. Familiar with NLP, CV-related algorithms, and technologies, and experienced in large model training. Experience in GPU based high-performance computing. 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. Job Information The base salary range for this position in the selected city is $112725 - $177840 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Benefits may vary depending on the nature of employment and the country work location. Employees have 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. About ByteDance ByteDance is a global incubator of platforms at the cutting edge of commerce, content, entertainment and enterprise services - over 2.5bn people interact with ByteDance products including TikTok. Diversity & Inclusion ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives.
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