Software Engineer III, AI/ML, Google Photos

1 Month ago • 3-5 Years • Artificial Intelligence

Job Summary

Job Description

This Software Engineer III role within Google Photos' AI/ML team in Bengaluru, India, requires developing and optimizing machine learning models. Responsibilities include writing product/system code, collaborating on design and code reviews, contributing to documentation, troubleshooting issues, and implementing solutions in specialized ML areas. The ideal candidate has strong software development skills, experience with ML infrastructure (model deployment, evaluation, optimization, data processing), and experience in at least one ML field (e.g., speech/audio, reinforcement learning). The role involves working with large-scale data and contributing to Google's leading photo service.
Must have:
  • Bachelor's degree or equivalent
  • 2+ years software development experience
  • 2+ years data structures/algorithms experience
  • 1+ year ML infrastructure experience
  • 1+ year experience in a ML field
  • Code writing and review
  • Debugging and issue resolution
  • ML model optimization & data processing
Good to have:
  • Master's or PhD in CS
  • Experience with accessible technologies

Job Details

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.
  • 2 years of experience with data structures or algorithms.
  • 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Preferred qualifications:

  • Master's degree or PhD in Computer Science, or a related technical field.
  • Experience developing accessible technologies.

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.

The Creative Camera team mission is to imagine and build the future of photography and videography. Our team is reinventing digital imagery from new algorithms for creating the highest quality images and videos possible on mobile devices, to creating entirely new ways of capturing and reliving our experiences.

Google Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user.

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.

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