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Senior Software Engineer, Machine Learning, Google Play

AT Google
Google

Senior Software Engineer, Machine Learning, Google Play

Bangalore, India

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 or algorithms.
  • 3 years of experience with Machine Learning/Artificial Intelligence (ML/AI) algorithms and tools or natural language processing.
  • 3 years of experience testing, maintaining or launching software products.
  • 1 year of experience with software design and architecture.
Preferred qualifications:
  • Experience in C++ or Python.
  • Experience with machine learning, supervised and unsupervised learning, clustering, semi-supervised learning, anomaly detection, and Large Language Model (LLM) fine-tuning.
  • Experience with data analysis and Machine Learning frameworks.
  • Knowledge of computer science concepts and Google infrastructure or Google Cloud Platform (GCP), including databases, operating systems, algorithms, and Machine Learning.

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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 Play offers music, movies, books, apps and games for devices, powered by the cloud. It syncs across devices and on the web. As part of the Android and Mobile team, Googlers working on Google Play do everything from engineering our backend systems, to shaping product strategy, to forming great content partnerships. They make it possible for people to do things like buy an ebook or song on their Android phone, then have it instantly available on their laptop. The Google Play team enhances the Android ecosystem by giving developers and partners a premium store where they can reach millions of users.

Responsibilities

  • Utilize knowledge in Machine Learning to keep users safe.
  • Perform online/offline integrations with various Google systems to get signals, features, and verdicts.
  • Collaborate with domain expert analysts, prepare and setup data pipelines for analysis and machine learning modeling.
  • Ideate, write code, and improve the automated review and detection models.
  • Guide projects in collaboration across other shopping horizontals teams using Machine Learning knowledge to define the projects, solutions, and guide execution.

Client-provided location(s): Bengaluru, Karnataka, India
Job ID: Google-142568009561449158
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)

Company Videos

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