Research Scientist, Gemini Post-Training

Google•Kirkland, WA

1d•$174,000 - $252,000

About The Position

As a Research Scientist at Google, you will work on research projects spanning fundamental research, product innovation, product contribution, and infrastructure. You will set up large-scale tests and rapidly deploy promising ideas, manage deadlines and deliverables, and apply current theories to develop products, processes, and technologies. Your work may include creating experiments and prototypes, and designing architectures for real-world computer science problems. You will share and publish findings and may draw ideas from internal projects and collaborations with university and technical institute research programs. At Google DeepMind, you will work with interdisciplinary teams advancing AI to address complex global challenges and support product innovation. The organization emphasizes widespread public benefit, scientific discovery, safety, and ethics. The listed US pay range is $174,000–$252,000, with a 15% bonus target, equity, and benefits. Individual pay depends on job-related skills, experience, and relevant education or training.

Requirements

PhD in Computer Science, a related field, or equivalent practical experience.
Dissertation research in natural language processing, machine learning, computer vision, speech processing, or another relevant area.
Four years of experience with research agendas across multiple teams or projects.
One or more first-author publications on topics related to algorithms or data in conferences, journals, or public repositories, such as NeurIPS, ICML, ICLR, ACL, or EMNLP.

Nice To Haves

Expertise in algorithms and the results of ML engineer agents.
Track record of execution and impact in a fast-paced research or engineering environment.

Responsibilities

Design new data, environments, and learning algorithms for training and evaluating Gemini models.
Perform controlled experiments and communicate results.
Collaborate with others to implement proven improvements for Gemini.
Deliver substantial portions of projects by defining data structures, frameworks, designs, and evaluation metrics for research solution development and implementation.
Identify project timelines and obtain needed resources.
Set up large-scale tests and deploy promising ideas quickly and broadly.
Create experiments and prototype implementations, and design new architectures.
Share and publish research findings.