Senior Software Engineer, Search Ads

Minimum qualifications:

• 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; the list goes on and is growing every day. 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 an 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.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Build machine learning systems on large scale data.
  
• Research novel ideas on model architectures and analysis, and then build, experiment and deploy them.
  
• Work with latest ML techniques, tools like TensorFlow, Adbrain, Tensor Processing Unit (TPU), Recommendation systems.
  
• Contribute to optimize user value and advertiser value in the Discover Ads.