Google Search is reimagining what it means to search for information, requiring solutions to complex engineering challenges and infrastructure expansion while maintaining a universally accessible and useful experience for billions of users globally. This role aims to design and implement Generative Artificial Intelligence (GenAI) solutions and leverage Machine Learning (ML) infrastructure to achieve these goals.
Requirements
- 5 years of experience with software development in Python.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- 1 year of experience with GenAI techniques (e.g., Large Language Models, Multi-Modal, Large Vision Models) or with GenAI-related concepts (e.g., language modeling, computer vision).
- Experience with programming in C++.
- Experience with defining, building and evaluating AI-agents, and leveraging foundational language models for introducing advanced capabilities within existing products and systems.
- Knowledge of any of the following: Search (e.g., AIM, Magi, MaRS, or usage of ML models in the search serving stack), Search Infrastructure or Search Quality.
Responsibilities
- Write and test 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.
- Design and implement Generative Artificial Intelligence (GenAI) solutions, leverage Machine Learning (ML) infrastructure, and evaluate trade-offs between different techniques and their application domains.
Other
- Display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
- Ability to embrace changing technologies and capabilities, and excellent problem-solving skills.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
- We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
- If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
