Senior Software Engineer - Artificial Intelligence and Machine Learning

Google India Pvt Ltd; Bengaluru; On-site; INR 4,200,000 - 6,200,000; Full time

Job summary

Google India Pvt Ltd in Bengaluru is seeking a Senior Software Engineer in AI/ML for Google Cloud. You will work on scalable systems, apply ML techniques, and collaborate with teams to drive product impact.

The role requires strong programming in Python or C++, experience with ML infrastructure, and leadership potential. You will contribute to design, deployment, and optimization of AI solutions at scale.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 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 such as speech/audio, reinforcement learning, ML infrastructure, or related field.
• 3 years of experience with ML infrastructure (model deployment, evaluation, optimization, data processing, debugging).

Responsibilities

• Write and test product or system development code.
• Collaborate through design and code reviews to ensure best practices.
• Contribute to documentation and adapt content based on updates and feedback.
• Triage issues and debug/resolve impact on hardware, network, or service operations.
• Design and implement ML solutions and leverage ML infrastructure.

Skills

Python

C++

Software design

ML infrastructure

ML field specialization

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in CS or related field

Job description

[T] Senior Software Engineer, AI/ML, Google Cloud

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience programming in Python or C++.
• 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

• 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 developing accessible technologies.

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. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Write and test product or system development code.
• Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Design and implement solutions in one or more specialized ML areas, leverage ML infrastructure, and demonstrate expertise in a chosen field.

Experience Level Senior Level