Research Scientist, Modeling of Readout and Reset, Quantum
Google · Goleta, CA | Los Angeles, CA
About this role
Google is hiring a mid-level Research Scientist in the machine learning function based in Goleta, CA | Los Angeles, CA. The posting calls out experience with Python, NLP, Mobile Development. Compensation is listed at $147,000–$211,000 per year.
- Role
- Research Scientist
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Goleta, CA | Los Angeles, CA
- Posted
- Apr 22, 2026
More roles at Google
Job description
from Google careersAs an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Google Quantum AI's goal is to build a practically useful quantum computer. Modeling of readout and reset team aims at quantitative understanding of error mechanisms of these operations, resulting in operation improvement and development of new schemes with advanced performance.