Google Cloud is seeking a Software Engineer III to join their AI/ML team, focusing on developing next-generation technologies that impact billions of users worldwide. This role combines software engineering excellence with machine learning expertise, working on critical projects that power Google Cloud's enterprise-grade solutions.
The position offers an opportunity to work with cutting-edge AI/ML technologies, including speech/audio processing, reinforcement learning, and ML infrastructure. As a Software Engineer III, you'll be responsible for writing production code, collaborating with peers through design and code reviews, and implementing sophisticated ML solutions that scale across Google's vast infrastructure.
The ideal candidate will bring 2 years of software development experience, strong foundations in data structures and algorithms, and specialized knowledge in ML infrastructure. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with customers in over 200 countries.
This role offers tremendous growth potential as you'll have opportunities to switch teams and projects as both you and the business evolve. You'll be working alongside industry experts, contributing to Google's culture of innovation while solving complex technical challenges in ML model deployment, evaluation, and optimization.
The position is based in several major Indian tech hubs, offering the chance to work from state-of-the-art offices while collaborating with global teams. Google's commitment to diversity, equality, and inclusion ensures a supportive work environment where your contributions will have meaningful impact on products used by billions of people.
Join Google Cloud to be at the forefront of AI/ML innovation, working with enterprise-grade solutions that leverage Google's cutting-edge technology while helping developers build more sustainably. This role combines technical depth with broad impact, making it an excellent opportunity for engineers passionate about machine learning and large-scale system design.