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
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.
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.
I love this role. Would apply for it.
I love the opportunities I see here.
I just love Machine learning roles and their pay