It takes powerful technology to connect our brands and partners with an audience of nearly 900 million. Whether you’re looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world. Want in?

A Little About Us

People would like to shop online day by day, especially in the post-pandemic period. At Yahoo, we aim to connect hundreds of millions worldwide to the things they love. Commerce is one of our ways and is a fast-growing business for Yahoo in the US. We are the US Commerce Recommendation Engine team, crafting personalized product services, recommender systems, and search ranking through data-driven approaches. Quality improvement and performance stability are vital pillars to advancing our services as we expand commerce experiences to Yahoo ecosystems – such as Yahoo Shopping, Homepage, Lifestyle, Mail, and Web Search. Join us to develop personalization and recommendation models, search ranking, and robust data aggregation and processing pipelines.

A Lot About You

As a US Commerce Recommendation Engine team member, you will work on novel machine learning technologies, real-life web-scale challenges, unique e-commerce domains, and complex challenges with top-notch engineers. You have access to the internet-scale amount of data, and powerful Hadoop/Spark clusters that consist of thousands of computing nodes. What you do will meaningfully contribute to the bigger success of the company.

We seek research engineers with solid coding, machine learning, and information retrieval skills. You will code in Python/Java/Scala on the Unix platform to build recommender applications that handle a massive scale of data within milliseconds.

If you have a desire to be part of building the fastest, biggest, and most innovative products on the planet, come talk to us.

Minimum Qualifications

• BS/MS in Computer Science or related field with a good understanding of the fundamentals such as Data Structures and Algorithms.
• Experience in machine learning and recommender systems.
• Good coding skills and experience in OOP. Python/Java/Scala preferred.
• Good communication and collaboration skills to work with people from various technical backgrounds and geographical locations. Enjoys helping people, remains friendly and constructive under stress.
• Applicants for this position must be based in Taiwan or willing to relocate to Taiwan.

Preferable Job Qualifications

• Project R&D skills in the industrial environment.
• A proven track record of technical strength, including responsibility for design or architecture
• Experience in modern development methodologies like CI/CD and Agile developing
• Experience in cloud technologies, such as Hadoop, Spark, HBase, Storm, and AWS services.