Senior Software Engineer, AI/ML, Ambient, Stack

1 week ago

Bengaluru, Karnataka, India Google Full time ₹ 15,00,000 - ₹ 20,00,000 per year
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
  • 3 years 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.
  • 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical field.
  • 5 years of experience with data structures/algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience in machine learning, deep learning, and AI development, and with building and deploying production-level models and machine learning (ML) Infrastructures.
  • Ability to work with various teams, including product managers, ML Software engineerss, and other stakeholders, to drive AI adoption and integration.
  • Ability to build relationships globally, ensuring effective collaboration between local and US-based teams to deliver AI-motivated solutions.
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.

In this role, you will work on State of the art (SOTA) machine learning (ML), Gemini and Gemini Nano, and will collaborate within AI innovation and research (AIR) teams and with Platforms and Devices team worldwide.

The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.

Responsibilities:
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  • Develop horizontal technology, building the necessary infrastructure and pathways, driving customer onboarding, and owning the upstreaming of user feedback and data back to AIR and Google DeepMind (GDM) teams for Hybrid, in context learning, Nano and Private Inference.

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