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Staff Software Engineer, Google Ads

AT Google
Google

Staff Software Engineer, Google Ads

Bangalore, India

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development, and with data structures/algorithms.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
Preferred qualifications:
  • Experience with statistical modeling.
  • Experience with software development, machine learning, or data analytics.
  • Experience with TensorFlow, C++, and Machine Learning.
  • Experience with large-scale system design and development.
  • Experience with advertising products, ads or search, ability to work across teams/organizations and understand multiple large pieces of infrastructure.

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  • Excellent communication and cross-functional collaboration skills along with analysis skills.

  • 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.

    In this role, you will lead teams across Google Ads to revolutionize how online ads measure by advancing privacy preserving and machine learning technologies. The Privacy Centric Measurement team ensures Google continues to provide accurate conversion measurement and high-quality optimization to its customers.

    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.

    Responsibilities

    • Define the direction and roadmap for the team.
    • Develop privacy, safe, and secure computational paradigm to solve problems.
    • Build models to predict online conversions using data from various sources in a privacy safe way.
    • Manage priorities between short-term efforts and long-term modeling.
    • Collaborate with cross-functional teams on high-impact projects.

    Client-provided location(s): Bengaluru, Karnataka, India
    Job ID: Google-105766020953580230
    Employment Type: Other

    Perks and Benefits

    • Health and Wellness

      • Health Insurance
      • Dental Insurance
      • Vision Insurance
      • Life Insurance
      • Short-Term Disability
      • Long-Term Disability
      • FSA
      • HSA
      • Fitness Subsidies
      • On-Site Gym
      • Mental Health Benefits
      • Health Reimbursement Account
      • HSA With Employer Contribution
    • Parental Benefits

      • Birth Parent or Maternity Leave
      • Non-Birth Parent or Paternity Leave
      • Fertility Benefits
      • Adoption Assistance Program
      • Family Support Resources
      • Adoption Leave
    • Work Flexibility

      • Hybrid Work Opportunities
    • Office Life and Perks

      • Commuter Benefits Program
      • Casual Dress
      • Pet-friendly Office
      • Snacks
      • Some Meals Provided
      • On-Site Cafeteria
    • Vacation and Time Off

      • Paid Vacation
      • Paid Holidays
      • Personal/Sick Days
      • Leave of Absence
      • Volunteer Time Off
    • Financial and Retirement

      • 401(K) With Company Matching
      • Company Equity
      • Performance Bonus
      • Financial Counseling
    • Professional Development

      • Tuition Reimbursement
      • Internship Program
      • Learning and Development Stipend
    • Diversity and Inclusion

      • Employee Resource Groups (ERG)

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