6 hours ago
Base Salary
$174k - $252k/yr
Responsibilities
- Build context-engineering pipelines, agentic workflows with tool usage, and evaluation frameworks.
- Analyze model behavior and create evaluation datasets to identify weaknesses and guide performance improvements.
- Enhance serving and evaluation infrastructure for user-facing features.
- Translate user needs into features across engineering, product, UX, and research teams.
- Analyze user metrics and model outputs to improve personalization and 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 LLMs, generative AI concepts, prompt engineering, and retrieval-augmented generation.
- Experience with model-quality optimization methods such as loss analysis or quality hillclimbing.
- Preferred: five years of experience with data structures and algorithms.
- Preferred: one year of experience in a technical leadership role.
- Preferred: experience with data analysis, experimental design, statistical methods, TensorFlow, JAX, PyTorch, user metrics logging, and A/B testing.
Benefits
- US base pay is $174000–$252000, plus a 15% bonus target, equity, and benefits.
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.