Software Dev Engineer I

We are the content serving, recommendation and personalization team for all our Yahoo brands. Our system powers properties such as Yahoo.com, Yahoo Sports, Yahoo Finance, AOL.com, TechCrunch, AutoBlog and Engadget on the web as well as the mobile experiences. Our data processing pipelines implicitly learn the users' interests and construct their interest graphs from their data. Based on those interest graphs, popularity and trending signals, our system serves content recommendations that are relevant, timely and personalized to the users.

To do all this, we work with technologies such as Vespa (Vespa.ai), Redis, Cassandra, Storm, Kafka, Hadoop, Hive, Pig, Tensorflow, Spark, and gRPC. We develop machine learned models and build pipelines that continuously collect new training data. We also work on various classification models, clustering algorithms, and active learning solutions.

We work on a massive scale, ingest and transform 100s of terabytes of data, build various interesting algorithms and work closely with our data scientists.

What We Are Looking For

We are looking for a Software Backend Engineer Intern to help build the backend technology stack for our recommendation and personalization system. Responsibilities include writing fault tolerant, low latency serving API's, building async workflows that process millions of real-time user events and content, and collaborating with science teams to engineer applied machine learning solutions for content recommendation.

Your Day

• Design, develop, code and test software systems or applications for software enhancements and new products

• Participate in agile development of project timelines, implementation design specifications, system flow diagrams, documentation, testing and ongoing support of systems

• Recommend modifications to processes and procedures, and contribute to best practices, design, and implementations

• Promote and solicit ideas within project teams

You Must Have

• Bachelors or Masters degree in computer science or related field

• Strong computer science fundamentals

• Good analytical and problem solving skills and confidence

• Ability to code fluently in one of the programming languages (preferably Java)

• Past work experience or internship completing complex projects in complex codebases is preferable

• Distributed systems, big data (Hadoop) knowledge is a plus

• Statistics knowledge is a plus

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 () 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.

At Yahoo, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion () page to learn more.

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.