Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 2 years of experience in statistical modeling, data mining, and data analysis.
- 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
- 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- Experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).
Preferred qualifications:- Master's degree or PhD in Computer Science or related technical fields.
- Experience in performance analysis and benchmarking to ensure adherence to defined quality standards.
- Experience with AI/ML techniques including Large Language Models, Information Retrieval, Image Retrieval, Search Quality etc.
- Ability to design, implement, and troubleshoot large scale distributed systems.
- Excellent collaboration and problem-solving skills.
Responsibilities- Build datasets, metrics, and autoraters.
- Analyze and debug existing behavior.
- Improve the accuracy, tone, and style of responses.
- Implement new features, such as visual aids in the response.
- Prompt engineering, and collaborating with the core model team to improve the underlying model, personalization, first- and third-party data ingestion into AI Mode and running A/B experiments.
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 .
