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Job Type
Full Time
Job Details
The application window will be open until at least April 24, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.Note: Google’s hybrid workplace includes remote and in-office roles. By applying to this position you will have an opportunity to share your preferred working location from the following:In-office locations: Sunnyvale, CA, USA; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA.Remote location(s): United States. 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 with design and architecture and testing/launching software products.
- Experience in Generative AI, responsible AI, and real-time data processing.
- Experience with PyTorch, TensorFlow, scikit-learn, and other deep learning frameworks.
- Experience using collaborative notebook-based workflows (e.g., Jupyter) for prototyping and knowledge sharing.
- Expertise in AI/ML quality evaluation and improvement, including balancing tuning techniques with cost/benefit tradeoffs.
- Passionate about delighting enterprise customers, and an excellent 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.
- 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.
About the Company
Build for everyone Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university... Read more