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, our mission is to connect hundreds of millions of people around the world 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 Data Science team, crafting product personalized services, recommender systems, and search ranking through data-driven approaches. As we expand commerce experiences to Yahoo ecosystems – such as Yahoo Shopping, Homepage, Lifestyle, Mail, Web Search, and In The Know – quality improvement and performance stability are vital pillars to advancing our services. Join us to develop the recommender models, search ranking, and robust data aggregation / preprocess pipelines.

A Lot About You

As a member of the US Commerce Data Science team, the Principal Research Engineer will play a critical role in innovating and exploring use cases, resolving problems in creative and flexible ways, and building and enhancing recommender models, search ranking, and data pipelines. You can work on novel machine learning technologies, real-life web-scale challenges, unique e-commerce domain, 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.

This role will work seamlessly with product managers and engineers around the world to enrich user experience from data-driven approaches, such as machine learning, information retrieval, and statistics. You will be a major problem-solver, model designer, and service contributor to resolving obstacles and supporting product requirements in analytical, practical, realistic, and agile ways. You will code in Java/Scala/Python on the Unix platform to build recommender applications that handle a massive scale of data within milliseconds.

Minimum Qualifications

B.S./M.S/PhD. in Computer Science or equivalent.

4+ years of experience in machine learning or recommender systems.

Good coding skills and experience in OOP. Python/Java/Scala are preferred.

Good communication and collaboration skills to work with people from various technical backgrounds and geographical locations.

Excellent critical thinking, problem-solving skills, and time management.

Strong organization skills, coordinate complex projects and work independently.

Preferable Job Qualifications

Basic knowledge of Functional Programming.

Excellent English oral and written communication skills.

Experience in modern development methodologies like CI/CD, MLOps, and Agile methodologies.

Experience in cloud technologies, such as Hadoop, Spark, HBase, Storm, and AWS services.

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

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 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 408-336-1409. Requests and calls received for non-disability related issues, such as following up on an application, will not receive a response.

US Only: Please be aware that Yahoo requires all employees entering a U.S. Yahoo office and/or attending a company event (including client events) are required to be vaccinated for COVID-19. This position will require the successful candidate to obtain and show proof of a vaccination to enter a U.S. Yahoo office and/or attending a company event (including client events). Yahoo is an equal opportunity employer, and will provide reasonable accommodation to those individuals who are unable to be vaccinated consistent with federal, state, and local law.

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.