4 days ago
Base Salary
$174k - $252k/yr
Responsibilities
- Build context-engineering pipelines, agentic workflows with tool usage, and robust evaluation frameworks.
- Analyze model behavior and create high-quality evaluation datasets to identify weaknesses and guide performance improvements.
- Enhance serving and evaluation infrastructure for new user-facing features.
- Translate user needs into valuable features while collaborating with engineering, product, UX, and research teams.
- Analyze user metrics and model outputs to improve personalization and overall system helpfulness.
Requirements
- Bachelor’s degree or equivalent practical experience.
- Five years of experience developing C++ backend infrastructure components within distributed systems.
- Three years of experience testing, maintaining, or launching software products and one year of experience with software design and architecture.
- Experience with Large Language Models, generative AI concepts, prompt engineering, and retrieval-augmented generation.
- Experience optimizing model quality through methods such as loss analysis or quality hillclimbing.
- Preferred: five years of experience with data structures and algorithms and one year of technical leadership experience.
- Preferred: experience with data analysis, experimental design, statistical methods, TensorFlow, JAX, PyTorch, user metrics logging, and A/B testing.
Benefits
- US base salary of $174000–$252000, plus a 15% bonus target, equity, and benefits.
- Work supports Google Geo products including Maps, Earth, Street View, and Google Maps Platform.
Categories
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.