Research Scientist, Geo AI

Google•Mountain View, CA

5h•$147,000 - $210,000

About The Position

Google Research conducts fundamental research and contributes to product development across a broad portfolio of projects. Research Scientists set up large-scale tests, deploy promising ideas, manage deadlines and deliverables, and apply current theories to develop or improve products, processes, and technologies. Work may include creating experiments and prototypes, designing architectures, and addressing real-world computer science problems, including machine learning, data mining, natural language processing, and hardware and software performance analysis. Research Scientists contribute to the wider research community by sharing and publishing findings. Their work may draw on internal projects and collaborations with partner universities and technical institutes. Google Research regularly publishes in academic journals, releases open-source projects, and applies research to Google products. This role contributes algorithmic solutions to Geo applications, helping people navigate, explore, and get things done in the world, and translates research ideas into product features with real-world impact.

Requirements

PhD in Computer Science, a related field, or equivalent practical experience.
Experience coding in one or more of Java, C++, or Python.
At least one scientific publication submission to a conference, journal, or public repository, such as CVPR, ICCV, NeurIPS, ICML, or ICLR.

Nice To Haves

2 years of coding experience.
1 year of experience owning and initiating research agendas.
1 year of experience with Machine Learning or AI algorithms.

Responsibilities

Contribute to Geo applications by building algorithmic solutions that help people navigate, explore, and get things done.
Convert research ideas into product features that deliver real-world impact for users.
Author research papers to share research results and generate impact across the team and research community.
Define data structures, frameworks, designs, and evaluation metrics for research solutions with minimal guidance; identify timelines and secure necessary resources.
Develop research prototypes or run simulations based on research questions to assess impact, finalize hypotheses, and refine research methodology, with limited oversight.