Senior Software Engineer, AI/ML, Geo and Gemini App
About The Position
Google software engineers develop technologies used by billions of people to connect, explore, and interact with information. This role works on a project important to Google’s needs, with opportunities to move across teams and projects as the business evolves. Engineers are expected to be versatile, demonstrate leadership qualities, and take on problems across the full stack. The Geo team builds accurate, comprehensive, and useful mapping products, including Maps, Earth, Street View, and Google Maps Platform. Its services help more than a billion people each month explore the world and navigate their daily lives, while also enabling developers to incorporate Google Maps capabilities into apps and websites. In this role, you will build context-engineering pipelines, agentic workflows, and evaluation frameworks; assess model behavior and improve performance; enhance serving and evaluation infrastructure for user-facing features; collaborate across engineering, product, UX, and research; and use user metrics and model outputs to improve personalization and system helpfulness.
Requirements
- 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.
- 1 year of experience with software design and architecture.
- Experience with Large Language Models (LLMs) and Generative AI concepts, such as prompt engineering and retrieval-augmented generation (RAG).
- Experience with model quality optimization methods such as loss analysis or quality hillclimbing.
Nice To Haves
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience working in changing, startup-like environments with rapidly changing priorities.
- Experience in data analysis, experimental design, and statistical methods.
- Experience with common ML frameworks such as TensorFlow, JAX, or 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 and create 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.
Benefits
- 15% bonus target
- Equity
- Benefits (details linked from Google’s careers benefits page)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
