Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.

• 3 years of experience in statistical modeling, data mining, and data analysis.

• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.

• Experience with Mathematical Optimization.

• Experience in an Operations Research field related either to an application domain and its modeling or technology.

Preferred qualifications:

• Master’s degree or PhD in Statistics, Mathematics, Computer Science, or similar fields.

• Experience developing accessible technologies.

• Experience with statistical and quantitative modeling and forecasting, and with machine learning techniques.

• Understanding of digital marketing and experience working with data to solve marketing problems including audience targeting, bidding, creatives optimization, measurement, and attribution.

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.

The Youtube optimization team focuses on delivering best performances to the advertisers advertising on Youtube. Each advertiser has a business goal to achieve. That goal could be getting most conversions given their budget, most clicks given a limit on cost-per-click, create awareness about their brand, or many other more advanced settings. Our team is responsible for the backend systems that power all these optimizations.

We manage advertisers’ spend and translate their business goals into real-time decision making on which ads to show. To achieve this goal we develop large-scale optimization systems by utilizing a variety of different tools such as mathematical and statistical modeling, auction theory, risk management, and machine learning (deep networks, Bayesian, etc.).

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 for new hire 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 (https://careers.google.com/benefits/) .

• Write product or system development code.

• Triage product or system issues and debug/track/resolve by analyzing the source of issues and the impact on hardware, network, or service operations and quality.

• Develop and implement optimization algorithms, and infrastructure.

• Build machine learning models to provide signals to optimization algorithms.

• Understand the Youtube ads ecosystem and come up with great ideas to improve display ads products, implement those ideas, and test them with our state-of-the-art experimentation infrastructure.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.