Google Cloud AI is seeking a Senior Software Engineer to join their team working on cutting-edge AI and machine learning technologies. This role combines software engineering expertise with specialized knowledge in GenAI and ML infrastructure.
The position offers an exciting opportunity to work at one of the world's leading tech companies, specifically within the Google Cloud AI Research team. This team tackles AI challenges across various industries including technology, healthcare, finance, and retail. The role involves pushing the boundaries of AI technology while creating practical solutions that benefit Google Cloud customers.
As a Senior Software Engineer, you'll be responsible for designing and implementing GenAI solutions, working with state-of-the-art techniques such as Large Language Models (LLMs), Multi-Modal systems, and Large Vision Models. You'll be involved in all aspects of the software development lifecycle, from writing and testing code to collaborating on design reviews and maintaining documentation.
The ideal candidate brings strong software engineering fundamentals with at least 5 years of development experience, combined with specialized knowledge in AI/ML. You'll need 3 years of experience with GenAI techniques and ML infrastructure, including model deployment, evaluation, and optimization.
Google offers a competitive compensation package, including a base salary range of $166,000-$244,000, plus bonus, equity, and comprehensive benefits. The role provides opportunities to work with leading researchers and engineers, contribute to groundbreaking AI advancements, and impact billions of users worldwide.
The position is based in either Sunnyvale, CA or Kirkland, WA, where you'll be part of a collaborative team environment. You'll have the chance to work on unique problems that maximize both scientific and real-world impact, while also sharing findings with the broader research community.
This role offers significant growth potential within Google's fast-paced environment, with opportunities to switch teams and projects as your career evolves. If you're passionate about AI technology and want to work on projects that push the boundaries of what's possible while solving real-world problems, this position offers an excellent opportunity to make a meaningful impact in the field of AI and machine learning.