Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.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.
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.
Qualifications
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.