Senior Software Engineer, AI/ML, Search Ecosystems
Mountain View, CA, USA · Senior
Sponsorship not specified$174k-$253kDetected 8 hours ago
JavaFull-Stack DevelopmentData StructuresAlgorithmsMachine LearningNLPLLMsUI DesignResearchLeadership
About the role
- - Bachelor's degree or equivalent practical experience.
- - 5 years of experience with software development in Java and C++.
Responsibilities
- Design, build, and maintain robust, scalable software systems and infrastructure for information retrieval built on top of LLMs.
- Develop and iterate on algorithms and evaluation models to retrieve high-value content, which includes defining and extracting quality signals.
- Maintain standards for code quality, system reliability, engineering best practices, and documentation.
Requirements
- Bachelor's degree or equivalent practical experience.
- 5 years of experience with software development in Java and C++.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
Nice to have
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures/algorithms.
- 1 year of experience in a technical leadership role.
- Our products need to handle information at massive scale, and extend well beyond web search.
- the list goes on and is growing every day.
- As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.
- We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
- You will help connect the platform to these launch surfaces.
Compensation
- US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits
This listing is sourced directly from Google's careers page and normalized into a canonical job model.