Senior Software Engineer, Search Ads

Minimum qualifications :

For a complete understanding of this opportunity, and what will be required to be a successful applicant, read on.

• Bachelor’s degree, or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures / algorithms.
• 3 years of experience with machine learning algorithms and tools (e.g., TensorFlow), or artificial intelligence.
• Programming experience in Python.

Preferred qualifications :

• Knowledge of deep learning neural networks including TensorFlow.
• 3 years of experience with ML classification systems, ranking and recommendation systems or similar.

About The Job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another.

Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile.

As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Discover Ads is the fastest growing ads product in Google, and we own the ad auction along with a bulk of the ML models that go into predicting various auction components.

To run an ad auction efficiently, we need to predict many different user actions accurately (e.g., click-through-rate, likelihood of a conversion, amount of time a user spends on a landing page, their likelihood of dismissing an ad, etc.).

In this role, you will focus on improving click prediction quality, especially on ML modeling quality. You will have the opportunity to lead junior engineers, set Objectives and Key Results (OKRs), and yearly roadmaps.

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. See also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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