Big Data Engineer (Recommendation) - BytePlus

ByteDance will be prioritizing applicants who have a current right to work in Singapore, and do not require ByteDance's sponsorship of a visa. 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 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 We are the R&D team for the product "BytePlus Recommend Platform". By building and applying leading architecture technology, we support the research and development of recommendation platform business. Supporting the development of good products and businesses is our top-level goal. At the same time, we need to take into account technical architecture, long-term investment and advanced reserves in architecture technology, limited ROI, exploring more possibilities for products, and supporting rapid product iteration are our core competitiveness. BytePlus Recommend Platform helps our user to build a delightful discovery experience. BytePlus Recommend Platform aims to provide this service to our users as a flexible and efficient tool to incorporate into their business. Through our services, users will be able to build better user experiences and grow their business further. It enhances every step of the user journey with personalized recommendations. The team provides rich personalized experiences using the latest innovations in machine learning to achieve higher retention, engagement, and revenue, explore flexible recommendation models that cater to our users' specific scenarios and goals, and explore all the need to get users started in an easy-to-use platform. Responsibilities - Responsible for the continuous evolution of the BytePlus Recommendation Product's data architecture. - Participate in developing a full life-cycle of ML sample preparation, including data ingestion, validation, transformation, and collaborate with MLEs to provide top-level recommendation solutions to To-B clients. - Build cutting-edge indexing, feature engineering, and data storage solutions to support efficient machine learning algorithm iteration. - Develop systematic processes and tools to optimize system costs and enhance overall stability and efficiency.

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions. - Proficient in developing batch and streaming big data applications using Spark, Flink, Kafka, etc., with a deep understanding of their principles and performance optimization. - Proficient in programming languages such as Java, Scala, Python, with a solid foundation in computer science and strong coding, system design, and problem-solving skills. - Familiar with modern big data ecosystem such as Yarn, Kubernetes (K8s), HDFS, Hive, Iceberg/Hudi, HBase, ClickHouse etc. - Agile, quick self learner, highly self-motivated with a strong sense of product ownership. - Experience in developing search, recommendation, advertising system or big data platform would be a plus. - At least 3+ years of relevant experience. 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.