About Sea:

Sea Limited (NYSE: SE) is a leading global consumer internet company founded in Singapore in 2009. Our mission is to better the lives of consumers and small businesses with technology. We operate three core businesses across digital entertainment, e-commerce, as well as digital payments and financial services, known as Garena, Shopee, and SeaMoney, respectively. Garena is a leading global online games developer and publisher. Shopee is the largest pan-regional e-commerce platform in Southeast Asia and Taiwan. SeaMoney is a leading digital payments and financial services provider in Southeast Asia.

About Sea Labs in Singapore:

There are two labs in Singapore now: Sea Corporate Lab and Sea AI Lab (SAIL).

Sea Corporate Lab is a group of software engineers who take coding seriously and understand programming as a science. We are responsible for the design and implementation of the services / systems / platforms with high performance, high availability and high scalability. We need to dive into the deep layer of the code to identify the problems. There will be performance issues caused by huge users’ access, and we have to do system optimization for better performance and better experience for our millions of users.

Sea AI Lab (SAIL) is committed to advancing technology to drive the development of the digital economy across our regions. SAIL is focused on exploring and developing long-term insights and technologies related to Sea’s existing businesses and new opportunities beyond. It also aims to attract and collaborate with top talent in artificial intelligence. Dr. Yan Shuicheng leads SAIL as Sea’s Group Chief Scientist. Dr. Yan is a leading expert in the field of artificial intelligence, with a particular focus on computer vision, machine learning, and multimedia analysis. He is an ACM Fellow and Fellow of Academy of Engineering Singapore.

Opening positions in Singapore:

SAIL: Research Scientist | Research Engineer | Research Intern

Software Engineer, Data

Software Engineer, Web Frontend

Software Engineer, Backend

Data Analyst

We'd like to target:

Final year undergraduates / master students / PhD students for the full-time positions;

PhD candidates in the first to penultimate year for the Research Intern position.