Senior Research Scientist, Beam

Google Inc.; Mountain View (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google Research in Mountain View is seeking a Senior Research Scientist to advance foundation models and multimodal AI, driving experiments from design to deployment. You will lead ambitious projects that push the state of the art and contribute to broad product goals.

You will publish findings, collaborate across teams, and shape research directions while delivering improvements across Google’s products and platforms. Equity and benefits are part of the overall package.

Qualifications

• PhD in Computer Science, a related field, or equivalent practical experience.
• 2 years of experience in Python and deep learning frameworks (e.g., JAX, Flax, or Gemma).
• Experience conducting research and development, including experimental design, implementation, and analysis.
• One or more publications submitted to conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Responsibilities

• Develop a deep understanding of foundation models, language and multimodal technologies and apply them in the product’s context.
• Prototype new (“zero-to-one”) features and partner with teammates to land them in production.
• Improve product quality and cost optimization via novel approaches and generation of novel data sets.
• Collaborate within the team and outside the team.
• Influence product roadmap via quantitative and qualitative analysis.

Skills

Python

Deep learning

Research

Education

PhD in Computer Science

Tools

JAX

Flax

Gemma

Job description

corporate_fare Google place Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Share Senior Research Scientist, Beam

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• 2 years of experience in Python and deep learning frameworks (e.g., JAX, Flax, or Gemma).
• Experience conducting research and development, including experimental design, implementation, and analysis.
• One of more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

• Experience in developing multimodal AI models and systems.
• Experience fine-tuning and post-training LLMs.
• Experience with developing generative AI architectures, techniques, and agentic AI solutions.
• Experience with multimodal learning, integrating information from different data types (e.g., vision, audio, text).
• Proven expertise in working with, tuning, and prototyping vision-language models (VLMs) using modern strategies.
• Strong interest in and awareness of the AI alignment, safety, responsibility, and landscape, with an excitement to collaborate across disciplines.

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.

Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• Develop deep understanding of foundation model, language and multi-modal technologies and approach to applying them in the product’s context.
• Prototype new (“zero-to-one”) features and capabilities, and partner with teammates to land them in production.
• Improve product quality and cost optimization via novel approaches and generation of novel data sets.
• Collaborate within the team and outside the team.
• Influence product roadmap via quantitative and qualitative analysis.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.