Staff Software Engineer, Machine Learning, Geo

Google LLC; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Google's software engineers develop next-generation technologies that scale to billions of users and drive how information is connected, explored, and interacted with daily. The Geo team builds maps and related platforms, enabling developers to integrate Maps across apps.

This senior role emphasizes ML design and end-to-end deployment, Generative AI, and leadership of engineers. Based in Bengaluru, you will collaborate across engineering, product, and operations to push AI capabilities, improve

Qualifications

• Bachelor’s degree or equivalent practical experience in CS or related field.
• 8 years of software development experience.
• 5 years in ML design and end-to-end ML deployment, evaluation, and data processing.
• Experience with Generative AI, LLMs, diffusion models, or related ML fields.
• Experience in technical leadership and managing a team.

Skills

ML design & deployment

End-to-end ML systems

Generative AI expertise

Leadership / team management

Cross-functional collaboration

Speech/audio & RL & ML infra

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in ML/AI/CS

Job description

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.

The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.

The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.

info_outlineXIn most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience with ML design and end-to-end Machine Learning (e.g., model deployment, model evaluation, data processing, debugging).
• 5 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.
• Experience in a technical leadership role, managing a team of engineers.
• Experience with Generative AI (e.g., Large Language Models (LLMs), diffusion models), development workflows, and use cases.

Preferred qualifications:

• Master's degree or PhD in Machine Learning, Artificial Intelligence, Computer Science, or a related quantitative field.
• 8 years of experience with data structures and algorithms.
• Experience designing automated evaluation frameworks and experimentation for generative AI and ML systems.
• Experience in one or more adjacent domains including Content Moderation, Conversational AI, Multimodal Fusion, or Truth Synthesis systems.
• Experience in people management within cross-functional environments.
• Ability to align and influence stakeholders across multiple engineering, product, and operations organizations.