Software Engineer, Youtube Ads, Auction and User Experience

Google LLC

Mountain View, CA

JOB DETAILS
SKILLS
Advertising, Algorithms, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Best Practices, Business Growth, Cloud Computing, Code Reviews, Construction, Customer/Client Research, Data Modeling, Data Processing, Data Storage, Data Structures, Debugging Skills, Distributed Computing, Documentation, Ecosystems, English Language, Equal Employment Opportunity (EEO), Genetics, Independent Software Vendor (ISV), Information Retrieval, Information/Data Security (InfoSec), Internet Search, Internet Security, Internet of Things, Large-Scale Systems, Leadership, Machine Learning, Manufacturing Operations Management, Natural Language Processing (NLP), Needs Assessment, Network Design, Network Operations Center, Operations Management, Operations Security (OPSEC), Product Management, Product Programs, Programming Languages, Project/Program Management, Recruiting/Staffing Agency, Regulatory Requirements, Reinforcement Learning, Retail, Small Business, Software Development, Software Engineering, Statistical Modeling, Stock Purchase Plans, Style Guide, Supply Chain Operations, Technical Leadership, Technical Support, Testability, User Interface Design, User Interface/Experience (UI/UX), YouTube
LOCATION
Mountain View, CA
POSTED
10 days ago

Software Engineer, Youtube Ads, Auction and User Experience - Google Careers

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Software Engineer, Youtube Ads, Auction and User Experience

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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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.

  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

  • 1 year of experience with one or more of the following statistical modeling, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.

Preferred qualifications:

  • Master"s or PhD in quantitative disciplines such as machine learning, optimization theory, statistical modeling, control theory.
  • 2 years of experience with data structures and algorithms.

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.

Our team drives YouTube Ads marketplace optimization by understanding and balancing the needs of users, advertisers, and creators. We leverage machine learning technology and advanced optimization framework to ensure that we select the right ads, at the right time, to show to the right user, to ensure the entire YouTube ecosystem thrives profitably.

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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Write product or system development code.

  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).

  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.

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

  • Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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