Backend Engineer (Large Model Platform), Machine Learning System - Singapore

ByteDance will be prioritising applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa. About the Company Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok and Helo 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 Us Creation 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. About the Team The Applied Machine Learning - Machine Learning (ML) Systems team provides End to End (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 and language modelling. The team is reinventing the ML infrastructure for large-scale language models. Responsibilities: - 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; - Working closely with the algorithm teams to optimize the algorithm and system jointly; - Research, design, and develop computer and network software or specialised utility programs; - Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis; - Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures; - Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements;

Minimum Qualifications: - Bachelor's degree or above, major in Computer Science, computer engineering or related; - Excellent coding skills with solid foundation in data structures and basic algorithms; - Proficient in at least one of the mainstream server-side programming languages such as Golang / Python / Java; Preferred Qualifications: - Familiar with Linux development environment; - Deep understanding of database technologies such as MySQL / PostgreSQL / MongoDB, middleware technologies such as Redis / Kafka; - Preferred to have a strong understanding of the principles of distributed systems, and have participated in the design, development, and maintenance of large-scale distributed systems with good knowledge of Kubernetes, Prometheus, Containerisation, Continuous Integration & Continuous Distribution; - Strong sense of responsibility, good learning ability, communication ability, and self-motivation; - Experience in the machine learning & cloud computing & data pipeline domain is a plus; 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 enrich life. 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.