About Google
Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.
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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s degree or equivalent practical experience
- 5 years of experience developing C++ backend infrastructure components within distributed systems
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture
- Experience with Large Language Models (LLMs) and Generative AI concepts (e.g., prompt engineering, retrieval-augmented generation (RAG))
- Experience with model quality optimization using methods such as loss analysis or quality hillclimbing
More about this role
- Build context engineering pipelines, agentic workflows with tool usage, and robust evaluation frameworks.
- Analyze model behavior, creating high-quality evaluation datasets to identify weaknesses and guide performance improvements.
- Enhance serving and evaluation infrastructure to power new user-facing features.
- Act as a technical bridge between engineering, product, UX, and research teams to translate user needs into valuable features.
- Analyze user metrics and model outputs to enhance personalization and overall system helpfulness.
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience developing C++ backend infrastructure components within distributed systems.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- Experience with Large Language Models (LLMs) and Generative AI concepts (e.g., prompt engineering, retrieval-augmented generation (RAG)).
- Experience with model quality optimization using methods such as loss analysis or quality hillclimbing.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical...
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