Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
  
• 2 years of experience with data structures or algorithms in either an academic or industry setting.
  

Preferred qualifications:

• Experience in Machine Learning (ML) infra and systems.
• Experience in Optimization techniques.
• Experience in code and system health, diagnosis and resolution, and software test engineering.

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.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $136,000-$200,000 + 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

• Optimize bidding systems via algorithms and Machine Learning (ML) methods, interactingwith teams and systems on ML tools and ML Models for bidding.
• Contribute to infrastructure supporting Search, Shopping, Performance Max and a number of other Google bidding teams.
• Work on analysis problems employing and statistical methods.
• Write C++ and Python code, and contribute to design docs, code health, automation, and alert automation.
• Participate in the On Call shift for Proxbyidder Platforms/Algos/Optimization along with other team members.