Minimum qualifications:- 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.
Preferred qualifications:- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience working in fast-paced, startup-like environments with rapidly changing priorities.
- Experience in data analysis, experimental design, and statistical methods.
- Experience with common ML frameworks (e.g., TensorFlow, JAX, PyTorch).
- Familiarity with user metrics logging and A/B testing for software products.
Responsibilities - 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.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $253000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
