Join Google Research as a Research Scientist

Minimum Qualifications:

- PhD in Computer Science or a related field, or equivalent practical experience.
- Experience in submitting scientific publications for conferences, journals, or public repositories.
- Proficiency in one or more of the following areas: multi-agent systems, algorithmic mechanisms or market design, recommender systems, reinforcement learning or active learning, and generative AI.

Preferred Qualifications:

- At least 2 years of coding experience.
- Minimum of 1 year in leading and initiating research agendas.
- Strong background in Machine Learning methods.
- Programming skills in C, C++, or Python.
- An established publication record.

About the Role

As a Research Scientist within Google Research, you'll engage in a mixture of research activities and hands-on development, contributing to a broad array of dynamic projects. Here, you have the freedom to prioritize the type of work—from fundamental research, product innovation, to direct contributions to strategic infrastructure goals.

Your work will involve setting up large-scale experiments, rapid prototyping, and deploying promising technologies across various realms of computer science including, but not limited to, machine learning, data mining, NLP, hardware and software performance analysis, and core search technologies.

Beyond the internal contributions, you'll also share your findings with the global research community to continue fostering an environment of collaborative growth. Collaborations with top universities and technical institutes worldwide are part of this inspiring role.

Why Google Research?

Our teams are pioneering developments in recommender systems and other critical user-facing products. We are driven by the ambition to solve complex problems that affect technology used daily by billions of people around the world.

Google Research not only values the academic contributions via publications but also emphasizes open source project releases, contributing directly to the technological landscape.

Compensation and Benefits

The base salary range for this full-time position in the US is $136,000 to $200,000. This range is complemented by a competitive package including bonuses, equity options, and comprehensive benefits. Exact salary is dependent on location, skills, experience, and education.

Key Responsibilities

- Engage with complex research topics like recommender systems, market design, and generative AI models.
- Develop scalable machine learning solutions for real-time, interactive systems.
- Innovate and implement robust optimization techniques.
- Collaborate with a global team of researchers and developers to integrate findings into real-world applications.
- Opportunity to publish and present your groundbreaking research.

Additional Job Information:

Company: Google
Job Title: Research Scientist, Interactive Recommender Systems, Google Research
Location: Multiple locations available across the United States.

Apply Now

Ready to contribute to pioneering research and influence next-generation technologies at Google? Apply today to become part of a team that aims to revolutionize the way we interact with technology.