Thegradcafe
Software Engineer Large Model System Graduate (Machine Learning Sys-US) - 2024 S
Thegradcafe, Jackson, Mississippi, United States,
Software Engineer Large Model System Graduate (Machine Learning Sys-US) - 2024 Start (BS/MS)Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.Why Join UsCreation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.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. The team is also responsible for the research and development of hardware acceleration technologies for cloud computing, via technologies such as distributed systems, compilers, HPC, and RDMA networking. The team is reinventing the ML infra for large-scale language models.We are looking for talented individuals to join our team in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas, and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.Successful candidates must be able to commit to a start date before the end of 2024. Please state your availability and graduation date clearly in your resume.Applications will be reviewed on a rolling basis. We encourage you to apply early.Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.Responsibilities:
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.Iterate and develop the system using customer-driven scenarios.Minimum Requirements:
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 Experience:
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.ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.ByteDance Inc. 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 earlycareers.accommodations@bytedance.com.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here:
https://jobs.bytedance.com/en/legal/privacy .
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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.Iterate and develop the system using customer-driven scenarios.Minimum Requirements:
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 Experience:
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.ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.ByteDance Inc. 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 earlycareers.accommodations@bytedance.com.By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here:
https://jobs.bytedance.com/en/legal/privacy .
#J-18808-Ljbffr