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Software Engineer III, ML/AI Innovation and Research

Google

Google

Software Engineering, Data Science
Bengaluru, Karnataka, India
Posted on Oct 29, 2024

Software Engineer III, ML/AI Innovation and Research

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GoogleBengaluru, Karnataka, India
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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), or specialization in another ML field.
  • 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • Experience with Artificial Intelligence and Machine Learning.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience developing accessible technologies.
  • Experience in machine learning, deep learning, and AI development, with experience building and deploying production-level models.
  • Experience collaborating effectively with product teams, understanding their goals and working in partnership to make them a reality through AI solutions.
  • Experience working in a research or academic setting, collaborating with researchers and translating research findings into practical applications.

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.

AI & Research Accelerator (AIRX) and On-Device Intelligence (ODI) are two parts of the recently formed AI Innovation and Research (AIR) organization - the catalyst for AI innovation in Platforms & Devices (P&D).

The AIRX team aims to develop and launch cutting edge AI experiences across priority P&D initiatives. AIRX partners closely with P&D product teams, guiding them through every step of AI integration, from ideation to deployment.

On-Device Intelligence researches, builds, and ships technology to enable OS-level Agentic Experiences with an emphasis on on-device, and enables next generation Gemini-based user interactions.

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

  • Write product or system development code.
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
  • Develop, train, evaluate, and deploy AI/ML models, ensuring their robustness, scalability, and successful integration into production systems.
  • Collaborate with product teams and research teams to deliver AI-based features. Identify common needs across multiple engagements and build shared infrastructure and models which will serve as a common toolset and blueprints to deliver the next engagements faster.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.