Senior Software Engineer, AI Innovation and Research, Engagements

Google Inc.; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Google is seeking a Senior Software Engineer in AI Innovation and Research to advance AI features across Platforms and Devices. The role involves developing and deploying AI/ML models, collaborating with product and research teams, and coordinating with Mountain View counterparts to drive impact at scale.

The AIRX team accelerates ML adoption by delivering reusable infra and blueprints, translating research into practical AI solutions across time zones and teams.

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 ML areas: Speech/audio, reinforcement learning, ML infrastructure, or related field.
• 3 years of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging).

Responsibilities

• Develop, train, evaluate, and deploy AI/ML models, ensuring robustness and production readiness.
• Collaborate with P&D product teams and research teams to deliver AI-based features.
• Work closely with the Mountain View team to maximize efficiency and impact.
• Identify common needs across engagements and build shared infra and models as reusable tools.
• Transfer AI knowledge to P&D product teams to enable future AI initiatives.

Skills

Software development

Testing and maintenance

Software design and architecture

ML fundamentals

ML infrastructure

Education

Bachelor’s degree or equivalent practical experience

Job description

Senior Software Engineer, AI Innovation and Research, Engagements

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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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• 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, optimization, data processing, debugging).

Preferred qualifications:

• Experience in Machine Learning, deep learning, and AI development, with a track record of building and deploying production-level models.
• Experience working in a research or academic setting, collaborating with researchers and translating research findings into practical applications.
• Experience collaborating effectively with product teams, understanding their goals and working in partnership to make them a reality through AI solutions.
• Ability to work effectively with different and distributed teams, including product managers, researchers, and other stakeholders, across multiple time zones to drive AI adoption and integration.

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 Innovation and Research (AIRX) is a team of AI experts that provides ML acceleration to Google's Platforms and Devices (P&D) teams. They help accelerate the launch of priority AI features, from initial ideas to final deployment, by engaging with teams across P&D and GDM.

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

• Develop, train, evaluate, and deploy AI/ML models, ensuring their robustness, scalability, and successful integration into production systems.
• Collaborate with P&D product teams and research teams to deliver AI-based features.
• Work closely with the Mountain View-based team, leveraging their proximity and partnerships with P&D product teams to maximize efficiency and impact.
• Identify common needs across multiple engagements and build shared infra and models which will serve as a common toolset and blueprints to deliver the next engagements faster.
• Transfer valuable AI knowledge and expertise to the P&D product teams you engage with, empowering them for future AI-driven initiatives.

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 .

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.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.