Online Advertising Science Intern in Work From Home at Yahoo Inc

Date Posted: 1/19/2023

Job Snapshot

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Job Description

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?

The Yahoo! Research Ad Science team in Haifa is looking for exceptional PhD & MSc students to apply to its intern program for the summer of 2023.

We seek graduate students who are passionate about making a significant business impact while applying state-of-the-art scientific methods to real-world data. Our mission is growing one of Yahoo’s biggest products dramatically and consistently every year. We consider the fact that such a key team is based in Israel as a vote of confidence by the company and a source of pride. We are also blessed with a talented engineering team, in Tel Aviv, who propel our scientific solutions by incorporating them in a web scale serving infrastructure.

About the internship:

The internship lasts for 14 weeks, typically between June and October of the same year. Interns are expected to work with our researchers to tackle research challenges, apply scientific thinking and techniques to improve the performance and effectiveness of our products, and solve problems for our users and advertisers by analyzing mountains of data. They will have the opportunity to publish their work in top-tier scientific conferences, as well as to impact a system that is responsible for many millions of dollars in yearly revenue.  If this sounds exciting to you, then we may be a good fit for each other. If this sounds intimidating to you, not to worry, we have some of the most talented applied scientists in the world who will guide you through the process. In addition to a competitive salary, you will enjoy many perks like daily sports classes, a generous meal budget, team events, and more.

Position requirements:

  • Currently enrolled as a PhD/MSc student in Computer Science (or a related field) at a top university

  • Strong computer science foundations in algorithms and data structures and the ability to apply them to real-world problems with a keen eye for time and space efficiency

  • Strong programming/engineering proficiency. Experience in Java/Python - a plus

  • Team player with strong communication and presentation skills

  • Ability to publish scientific papers and perform independent and collaborative research

  • Experience with machine learning and big data analysis - a plus

Candidates will need to submit a CV & GPA grades plus a letter of recommendation from their graduate advisor.

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.

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.


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