Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We need engineers to build machine learning systems on data (billions of YouTube queries) and develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
Requirements
- 2 years of experience with software development in C++ and Python, or 1 year of experience with an advanced degree.
- 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), Machine Learning infrastructure, or specialization in another Machine Learning field.
- 1 year of experience with Machine Learning infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
- 2 years of experience with data structures or algorithms.
- Experience developing accessible technologies.
- Experience in Ads business Clicks and conversions prediction, in an ads or non-ads context Recommendations systems.
- Experience with statistical and quantitative modeling and forecasting.
Responsibilities
- Build machine learning systems on data (billions of YouTube queries).
- Build expertise on Machine Learning techniques for recommendation systems, ads and product landscape by working with experienced execuitve leads.
- Research novel model architectures, read papers, implement and deploy them to stay up-to-date with the latest trends and innovations in ads ecosystem and machine learning.
- Work with the Machine Learning techniques, tools like TensorFlow, Adbrain, Tensor Processing Unit.
- Collaborate and coordinate with partner teams in Ads Quality, Ads Front End, Ads Infrastructure to launch new audiences, products and features.
Other
- Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.
- We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer.
- We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
- We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
