Responsibilities

ByteDance will be prioritising applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa. 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 infra 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;

Qualifications

Minimum Qualifications: - Bachelor's degree or above, major in Computer Science, computer engineering or related; - ≥ 3 years of 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;

Job Information