Google's AI opportunity is huge, aiming to change the future of work by enhancing productivity tools like Gmail, Docs, Drive, Calendar, Sheets, Vids, and Meet. The role involves building how these tools should function in the future, impacting billions of users globally.
Requirements
- 2 years of experience programming in Python or C++.
- 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 2 years of experience with data structures or algorithms.
- Experience developing accessible technologies.
Responsibilities
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,)
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Implement solutions in one or more specialized ML areas, utilize ML infrastructure, and contribute to model optimization and data processing.
Other
- Bachelor’s degree or equivalent practical experience.
- Master's degree or PhD in Computer Science or related technical fields.
- Versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack.
- Work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.
- US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits.
