Minimum qualifications:

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• 4 years of experience with research agendas across multiple teams or projects.
• One or more scientific publication submission(s) for conferences, journals, or public repositories

Preferred qualifications:

• 2 years of experience in coding and leading multiple research efforts and influencing research direction.
• Experience with speech/audio models and processing.
• Experience with the Gemini models (data processing, training, SFT).
• Industry experience in developing large-scale, multimodal ML models with language modality.
• Research background in NLP/Generative AI.

About the job

As 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.

Our goal is to research and productionize novel multimodal conversational capabilities, building on Gemini LLMs and working closely with colleagues across Deepmind and Google product teams. These new capabilities will target a wide range of current and future devices, and have the potential to impact multiple Google products.

In Google Search, we're reimagining what it means to search for information - any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $189,000-$284,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .

Responsibilities

• Deliver project impact by researching new ideas and capabilities this involves defining the data structure, framework, design, and evaluation metrics for research solution development and implementation. Identify timelines and obtain resources needed.
• Identify new and upcoming research areas by interacting with potential external and internal collaborators. Develop long-term research strategy and plans to expand the impact of Google research.
• Identify complex but defined problems/gaps in existing technology and engage stakeholders and leaders to address them.
• Author research papers to share and generate impact of research results across organization and in the research community.
• Assist in research growth by sharing research trends and best practices within the community by reviewing academic papers, and serving on program committees and grant panels.