ByteDance
Software Engineer, Architecture and Infrastructure
Responsibilities Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application in China. The Machine Learning (ML) System sub-team combines 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. Responsibilities include: Participating in online architecture design and optimization centered around deep model inference tasks, achieving high concurrency and throughput in large-scale online systems. Participating in the establishment of a comprehensive system covering stability, disaster recovery, R&D efficiency, and cost, enhancing overall system stability. Participating in the design and implementation of end-to-end online pipeline systems with multiple models, plugins, and storage-computation components, enabling agile, flexible, and observable continuous delivery. Collaborating closely with the MLE for optimization of algorithms and systems. Being proactive, optimistic, highly responsible, and demonstrating meticulous work ethic, as well as possessing strong team communication and collaboration skills. Qualifications Minimum Qualifications: Excellent coding skills, strong understanding of data structures, and fundamental knowledge of algorithms. Proficiency in programming languages such as C/C++, Java, Go, Python, etc. Familiarity with deep learning models and its applications, such as ResNet, BERT, etc. Rich experience in online architecture, with the ability to troubleshoot independently. Strong sense of responsibility, good learning ability, communication skills, and self-motivation. Preferred Qualifications: Experience in the architecture of recommendation/advertising/search online and offline systems. Understanding of GPU hardware architecture, familiarity with GPU software stack (CUDA, cuDNN), and experience in GPU performance analysis. Job Information The base salary range for this position in the selected city is $177,688 - $341,734 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. 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. 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.
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Responsibilities Leveraging substantial data and computing resources and through continued investment in these domains, we have developed a proprietary general-purpose model with multimodal capabilities. In the Chinese market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and is available to external enterprise clients via Volcano Engine. Today, the Doubao app stands as the most widely used AIGC application in China. The Machine Learning (ML) System sub-team combines 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. Responsibilities include: Participating in online architecture design and optimization centered around deep model inference tasks, achieving high concurrency and throughput in large-scale online systems. Participating in the establishment of a comprehensive system covering stability, disaster recovery, R&D efficiency, and cost, enhancing overall system stability. Participating in the design and implementation of end-to-end online pipeline systems with multiple models, plugins, and storage-computation components, enabling agile, flexible, and observable continuous delivery. Collaborating closely with the MLE for optimization of algorithms and systems. Being proactive, optimistic, highly responsible, and demonstrating meticulous work ethic, as well as possessing strong team communication and collaboration skills. Qualifications Minimum Qualifications: Excellent coding skills, strong understanding of data structures, and fundamental knowledge of algorithms. Proficiency in programming languages such as C/C++, Java, Go, Python, etc. Familiarity with deep learning models and its applications, such as ResNet, BERT, etc. Rich experience in online architecture, with the ability to troubleshoot independently. Strong sense of responsibility, good learning ability, communication skills, and self-motivation. Preferred Qualifications: Experience in the architecture of recommendation/advertising/search online and offline systems. Understanding of GPU hardware architecture, familiarity with GPU software stack (CUDA, cuDNN), and experience in GPU performance analysis. Job Information The base salary range for this position in the selected city is $177,688 - $341,734 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. 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. 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.
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