It takes powerful technology to connect our brands and partners with an audience of hundreds of millions of people. 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.

A Little About Us

People love to shop online, especially in the post-pandemic world. 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 internet-scale amounts of data and powerful cloud computing 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 (with good academic records for NCG) 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.

Preferable Job Qualifications

• Project R&D skills in the industrial environment.

• 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.

• Experience with using large language models in a production context.

Yahoo is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to, and will not be discriminated against based on age, race, gender, color, religion, national origin, sexual orientation, gender identity, veteran status, disability or any other protected category. Yahoo will consider for employment qualified applicants with criminal histories in a manner consistent with applicable law. Yahoo is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. If you need accessibility assistance and/or a reasonable accommodation due to a disability, please submit a request via the Accommodation Request Form (www.yahooinc.com/careers/contact-us.html) or call +1.866.772.3182. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

Yahoo has a high degree of flexibility around employee location and hybrid working. In fact, our flexible-hybrid approach to work is one of the things our employees rave about. Most roles don’t require specific regular patterns of in-person office attendance. If you join Yahoo, you may be asked to attend (or travel to attend) on-site work sessions, team-building, or other in-person events. When these occur, you’ll be given notice to make arrangements. 

If you’re curious about how this factors into this role, please discuss with the recruiter.

Currently work for Yahoo? Please apply on our internal career site.