Location: Sunnyvale, CA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA (Remote eligible)

Application Window: Open until at least January 24, 2024

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Minimum Qualifications:

  • 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.
  • 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.
  • 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.
  • Passionate about delighting enterprise customers, and an excellent understanding of enterprise workloads.
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About the Job:
As a Staff Software Engineer, you will collaborate closely with product teams to innovate, incubate, and prototype the evolution and transformation of Google Cloud Platform (GCP) products to provide Generative AI-driven experiences and solutions. You will play a crucial role in incubating, prototyping, and iterating in this space to bring new ideas to production swiftly, staying abreast of the latest technology and techniques for Generative AI.

Google Cloud: Google Cloud accelerates organizations’ ability to digitally transform their business with the best infrastructure, platform, industry solutions, and expertise. It delivers enterprise-grade solutions leveraging Google’s cutting-edge technology.

Salary Range: $185,000-$283,000 + bonus + equity + benefits

Responsibilities:

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