Staff Software Engineer, AI/ML Agentic Migrations
Compensation
About the role
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.
Responsibilities
- Design and development of related Machine Learning (ML) Frameworks Agentic solutions.
- Help to build a multi-agent system to deliver significant and measurable time savings on real-world migrations of ML models and their training pipelines.
- Work in collaboration with ML Infrastructure teams and Product Areas of ML Infrastructure (e.g., YouTube, Search).
- Give contributions to the Artificial Intelligence (AI) for AI roadmap.
Requirements
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience in testing and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience in leading Machine Learning (ML) design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 2 years of experience with Generative AI techniques (e.g., Large Language Models (LLMs), Multi-Modal, Large Vision Models) or with Generative AI-related concepts (e.g., language modeling, computer vision).
Benefits
- Bonus
- Equity
- Health insurance
- 401k matching
About the Company
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
Job Details
Salary Range
Salary not disclosed
Location
Mountain View, California, U.S.
Employment Type
Full-time, Regular
Original Posting
View on company website