Senior Software Engineer, AI Innovation and Research

Google is seeking a Senior Software Engineer for AI Innovation and Research to join their team in Bengaluru, India. This role is part of Google's mission to develop next-generation technologies that change how billions of users connect, explore, and interact with information and one another.

As a Senior Software Engineer in AI Innovation and Research, you will:

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

The ideal candidate will have:

• A Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 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 Machine Learning (ML) infrastructure (e.g., model deployment, model evaluation, data processing, debugging).

Preferred qualifications include:

• Experience in complex technical projects, from conception to deployment, with a focus on delivering results on time.
• Experience in a research or academic setting, collaborating with researchers and translating research findings into practical applications.
• Experience in machine learning, deep learning, and AI development, with a track record of building and deploying production-level models.
• Experience in Partner and devices product portfolio and an understanding of AI.
• Ability to work effectively with diverse and distributed teams across multiple time zones to drive AI adoption and integration.

Google offers a dynamic work environment where engineers can be versatile, display leadership qualities, and take on new problems across the full-stack as the company continues to push technology forward. Join Google's team and contribute to groundbreaking advancements in AI and machine learning!