Software Engineer III, AI/ML, Platforms and Devices

1 Month ago • 3-5 Years • Artificial Intelligence

Job Summary

Job Description

As a Software Engineer III, AI/ML, Platforms and Devices at Google, you'll work on training and optimizing complex machine learning models for the Tensor Processing Unit (TPU). You'll enable various models across applications (camera, Speech, Translate, TTS, etc.) on Edge TPU, gaining expertise in efficient model architectures and on-device machine learning. Responsibilities include writing product/system development code, collaborating on design and code reviews, contributing to documentation, debugging system issues, and implementing solutions in specialized ML areas. You'll also contribute to model optimization and data processing, managing project priorities, deadlines, and deliverables. The role requires strong software development skills, experience with ML infrastructure, and expertise in at least one ML field (speech/audio, reinforcement learning, etc.).
Must have:
  • Bachelor's degree or equivalent experience
  • 2+ years software development experience
  • 2+ years experience with data structures/algorithms
  • 1+ year experience with ML infrastructure
  • Experience with at least one ML field (speech/audio, reinforcement learning, etc.)
Good to have:
  • Master's/PhD in Computer Science
  • Experience developing 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.

As a Software Engineer, you will work on training and optimizing complex machine learning models for the Tensor Processing Unit (TPU). By working on enabling different models spanning varied applications (e.g., camera, Speech, Translate, TTS, etc.) on Edge TPU, you will gain exposure and expertise in the exciting direction of efficient model architectures, optimization methods and on-device machine learning activities at Google. Along with your technical expertise, you will manage project priorities, deadlines and deliverables.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

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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