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Staff Software Engineer, Machine Learning
Staff Software Engineer, Machine Learning-March 2024
Bengaluru
Mar 17, 2025
ABOUT GOOGLE
Our mission is to organize the world’s information and make it universally accessible and useful.
10,000+ employees
Technology
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About Staff Software Engineer, Machine Learning

  Minimum qualifications:

  Bachelor's degree or equivalent practical experience.

  5 years of experience in software development, and with data structures/algorithms.

  Experience in a technical leadership role, proposing and overseeing projects in the application of advanced ML in products.

  Preferred qualifications:

  Master's degree or PhD in Computer Science, a related field, or equivalent practical experience.

  Knowledge of Tensorflow.

  Excellent communication skills.

  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 mission is to build Google's relationship with our members through exclusive product features across Google’s product portfolio. Our team works across multiple product areas to identify, define and build premium experiences that add value and delight to our member's Google experience. This includes core membership infrastructure as well as feature development on several Google product surfaces.

  The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments (desktop, mobile, applications). The products provide enterprises, and ultimately end users, the ability to utilize and manage their services at scale. We build innovative and compelling software products—from apps to TVs, from laptops to phones—that have an impact on people’s lives across the world.

  Work closely with Product Manager/UX to identify subscription offers and benefit personalization to grow business.

  Work on ML model training and ML framework integration.

  Propose and drive complex Projects while engaging with multiple other ML and infrastructure teams within Google.

  Build scalable infrastructure that will allow us to experiment with different levels to increase business priorities.

  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.

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