Senior Research Scientist, Multimodal & LLM AI

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

Benefits offered by this job

15% bonus target

Equity

Benefits

Job summary

Google LLC is seeking a Research Scientist to design, implement, and scale large-scale experiments across computer science domains including machine learning and NLP. You will contribute to new architectures, run tests, and publish findings with broad impact across Google products.

You’ll work on cutting-edge AI systems, collaborate with universities and internal teams, and shape research directions while delivering practical prototypes and production-ready capabilities.

Qualifications

• 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 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 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.

Skills

Python programming

Deep learning

Experiment design

Academic publishing

Education

PhD in Computer Science or related field

Tools

JAX

Flax

Gemma

Job description

Google LLC is seeking a Research Scientist to design, implement, and scale large-scale experiments across computer science domains including machine learning and NLP. You will contribute to new architectures, run tests, and publish findings with broad impact across Google products.

You’ll work on cutting-edge AI systems, collaborate with universities and internal teams, and shape research directions while delivering practical prototypes and production-ready capabilities.