Senior Software Engineer, AI/ML GenAI, Google Cloud AI

Google Cloud AI is seeking a Senior Software Engineer to join their innovative team working on cutting-edge AI and machine learning technologies. This role offers an exciting opportunity to work at one of the world's leading tech companies, developing next-generation AI solutions that impact billions of users globally.

The position is part of the Google Cloud AI Research team, which tackles complex AI challenges across various industries including technology, healthcare, finance, and retail. As a senior engineer, you'll be at the forefront of developing and implementing state-of-the-art GenAI techniques, working with technologies like Large Language Models (LLMs), Multi-Modal systems, and Large Vision Models.

The role offers a competitive compensation package ranging from $166,000 to $244,000, plus additional benefits including bonus, equity, and comprehensive healthcare coverage. You'll have the opportunity to work from either Sunnyvale, CA or Kirkland, WA, collaborating with world-class engineers and researchers.

Key responsibilities include writing and testing product code, participating in design and code reviews, contributing to documentation, and solving complex technical challenges. You'll be working on projects that push the boundaries of AI technology while having real-world impact through Google Cloud's products and services.

The ideal candidate should have strong software development experience, deep knowledge of GenAI techniques, and proven experience with ML infrastructure. This role offers excellent growth opportunities, including the chance to work on diverse projects and contribute to cutting-edge research that shapes the future of AI technology.

Google's collaborative culture, commitment to innovation, and focus on real-world impact make this an exceptional opportunity for a senior engineer looking to advance their career in AI and machine learning. You'll be part of a team that not only pushes the state-of-the-art in AI but also shares findings with the broader research community, contributing to the advancement of the field as a whole.