The Yahoo Gemini marketplace empowers advertisers with insightful data, brand-safe premium content and advanced technologies to deliver engaging search and native advertising campaigns that drive results.
Showing the right ad to the right user at the right time is an advertiser's dream come true. Using massive amounts of data from search, mail, site visits, and users' activities on all of our properties, you will apply machine learning algorithms to identify distinct consumer buying patterns for various advertisers. You will then use that data to estimate influence of advertising on users and help drive long term value for our clients by looking beyond the existing transactional and discrete advertising methodology.
Our next generation advertising platform is currently being built with a close collaboration between dedicated and experienced teams of researchers and engineers. Naturally, the project has very high visibility and and is full of challenging and juicy problems -- perfect to engage the best researchers and lead to publications.
Come and join us to shape the future of advertising.
Propose innovative ideas to improve the monetization and quality of our advertising platform.
Develop state-of-the-art machine learning and recommendation systems to provide personalized ads to users.
Perform statistical analyses on large data sets, identify problems and propose solutions.
Conceive, design, prototype, and evaluate complex algorithms and statistical models that can be integrated into the advertising platform.
Design and conduct offline simulations and online experiments, and evaluate the results to extract insightful information
Work with business teams to gain acceptance of proposed solutions and work with engineering teams on productionizing them.
Generate intellectual property with patent applications and publications at relevant forums.
Stay current on published state-of-the-art techniques for online advertising and related disciplines.
Be a technical lead and major chunks of the project
Ph.D. in Computer Science, Electrical Engineering, Operations Research, Statistics, or similar field.
Interest in developing novel and scientifically sound techniques to solve real world problems.
Solid programming skills in Java, C , or scripting languages like Python or R in a Unix environment.
Deep knowledge of algorithms that can scale to terabytes of data.
Hands-on skills in cleaning, manipulating, analyzing, visualizing and modeling large data sets.
Experience with machine learning, personalization, data mining, search relevance, natural language processing, forecasting or optimization.
2 years of industry experience in one or more of the above fields
Strong oral and written communication skills, and publications in top-tier conferences or journals.
Ability to thrive in a fast-paced entrepreneurial culture
Familiarity with online advertising
Experience with Sentiment Analysis, Product Canonicalization and Understanding, Deep Learning (on TensorFlow), Word2Vec, and Multi-touch-attribution
Experience with large scale data processing using on Hadoop, Tez, Spark, etc.
Knowledge of Pig, Hive, Hadoop Streaming, etc.
Oath 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. Oath is dedicated to providing an accessible environment for all candidates during the application process and for employees during their employment. Please let us know if you need a reasonable accommodation to apply for a job or participate in the application process. Currently work for Oath? Please apply on our internal career site.
Yahoo is focused on making the world's daily habits inspiring and entertaining - whether you're searching the web, emailing friends, sharing photos with family, or simply checking the weather, sports scores or stock quotes.