Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 2 years of experience programming in Python or C .
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.
Preferred qualifications:- Master's degree or PhD in Computer Science, or a related technical field.
- Familiar with modern Large Language Model (LLM) and agent technologies, such as agent harnesses, evaluation frameworks, and hill-climbing optimization.
- Passionate about pushing the boundaries of AI adoption in the enterprise world.
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 Generative Artificial Intelligence (GenAI) solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
