7 hours ago
London, United Kingdom or Mountain View, CA, USAMid Level
H1B sponsor
Base Salary
$147k - $210k/yr
Responsibilities
- Work on long-term software engineering and design projects that enable new research.
- Respond to time-sensitive issues in large-scale training runs and ongoing research.
- Improve technical workflows and tooling used across pretraining.
- Help researchers navigate technical challenges involving the codebase, technology stack, model architecture, and data pipeline.
- Balance sound engineering practices with a flexible codebase that researchers can use and extend.
Requirements
- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
- At least 2 years of software engineering experience involving Python-based machine-learning or scientific libraries such as JAX, or internship experience or open-source contributions in these areas.
- At least 1 year of machine learning experience.
- Preferred: experience with large-scale system design, distributed systems, or performance engineering.
- Preferred: understanding of engineering best practices, codebase design, and testing.
- Preferred: familiarity with modern large language model training.
- Preferred: ability to collaborate and communicate effectively with people across different skill sets, needs, and time zones.
Benefits
- US base pay is $147000–$210000 annually, plus a 15% bonus target, equity, and benefits.
- The role involves collaboration with global, interdisciplinary teams and research partners.
Tech Stack
Categories
AI ResearchML Engineering
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.