Staff Software Engineer, Google Cloud Generative AI

Remote location(s): United States.Minimum qualifications:

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  • Bachelor’s degree, or equivalent practical experience.
  • 8 years of experience in software development and with data structures/algorithms.
  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
  • Experience in Generative AI, responsible AI, and real-time data processing.

Preferred qualifications:

  • Experience with PyTorch, TensorFlow, scikit-learn and other deep learning frameworks.
  • Experience in AI/ML quality evaluation and improvement, including balancing tuning techniques with cost/benefit trade-offs.
  • Experience using collaborative notebook-based workflows (e.g. Jupyter) for prototyping and knowledge sharing.
  • Understanding of enterprise workloads.
  • Ability to promote product excellence and collaboration, driving a portfolio of concurrent engineering projects running the gamut from short-term critical feature launches to long-term research initiatives.

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.

As a Staff Software Engineer, you will work closely with our product teams to innovate, incubate and prototype how to evolve and transform our Google Cloud Platform (GCP) products to provide Generative AI driven experiences and solutions. You will incubate, prototype, and iterate in this space to quickly bring new ideas to production. This includes staying on top of the latest technology and techniques for Generative AI to continue to evolve our approaches.

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.

The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

  • Co-lead the technology and innovation strategy for Generative AI and Machine Learning. Understand, implement, and improve upon the latest research in Generative AI.
  • Apply judgment to determine whether, where, and how to apply AI/ML to products.
  • Evaluate, fine-tune, and maintain models, which includes collecting and preparing data as needed.
  • Improve quality through product integrated prompt engineering and optimizations.
  • Collaborate with team members to build, evaluate, and deploy critical features.

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