Senior Research Scientist, Multimodal AI & Foundation Models

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

Job summary

Google Beam team in Mountain View is seeking a Senior Research Scientist to advance foundation models and multimodal AI research. You will design large-scale experiments, prototype new architectures, and push ideas toward production.

You will publish results with the wider research community, collaborate across disciplines, and help shape the roadmap for cutting-edge AI technologies at Google. Strong background in deep learning, vision-language models, and responsible AI principles is expected.

Qualifications

• PhD in Computer Science or 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 scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Responsibilities

• Develop deep understanding of foundation model, language and multimodal technologies for product context.
• Prototype new features and capabilities and land them in production.
• Improve product quality and cost optimization through novel approaches and data sets.
• Collaborate within the team and with external partners.
• Influence product roadmap via quantitative and qualitative analysis.

Skills

Python

Deep learning

Research & development

Publications

Mentoring

Education

PhD in Computer Science or related field

Tools

JAX

Flax

Gemma

Job description

Google Beam team in Mountain View is seeking a Senior Research Scientist to advance foundation models and multimodal AI research. You will design large-scale experiments, prototype new architectures, and push ideas toward production.

You will publish results with the wider research community, collaborate across disciplines, and help shape the roadmap for cutting-edge AI technologies at Google. Strong background in deep learning, vision-language models, and responsible AI principles is expected.