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Job Type
Full Time
Job Details
For US Applicants: This role may also be located in our Playa Vista, CA campus. The application window will be open until at least May 2, 2024. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Atlanta, GA, USA; Montreal, QC, Canada; Toronto, ON, Canada; Waterloo, ON, Canada; Austin, TX, USA; Boulder, CO, USA; Cambridge, MA, USA; Chicago, IL, USA; Charlotte, NC, USA; Addison, TX, USA; Houston, TX, USA; Las Vegas, Nevada, USA; New York, NY, USA; Portland, OR, USA; Los Angeles, CA, USA; Seattle, WA, USA; San Francisco, CA, USA; Salt Lake City, UT, USA; Sunnyvale, CA, USA. Minimum qualifications:
- Bachelor's degree in Science, Technology, Engineering, Math, or equivalent practical experience.
- 5 years of experience in AI applications (e.g., Deep Learning, NLP, Computer Vision, or Pattern Recognition).
- Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
- Experience delivering technical presentations and leading business value sessions.
- Master's degree in Computer Science, Engineering, or a related technical field.
- Experience designing and deploying with one or more from the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
- Experience training and fine tuning models in large scale environments (e.g., image, language, recommendation) with accelerators.
- Experience with distributed training and optimizing performance versus costs.
- Experience with CI/CD solutions in the context of MLOps and LLMOps including automation with IaC (e.g., using terraform).
- Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
- Be a trusted advisor to our customers by understanding the customer’s business process and objectives. Design Generative AI-driven solutions, spanning AI, Data, and Infrastructure, and work with peers to include the full cloud stack into overall architecture.
- Demonstrate how Google Cloud is differentiated by working with customers on application prototypes, demonstrating Generative AI features, prompting and tuning models, optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues in Generative AI applications.
- Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable customers and internal teams.
- Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
- Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. Travel as needed.
About the Company
Google Inc.
Mountain View, CA, United States
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