Senior Research Scientist, Beam

As a Research Scientist at Google, you'll work on real-world problems spanning machine learning, data mining, natural language processing, hardware and software performance analysis, and more. You'll setup large-scale tests, deploy promising ideas, and manage deadlines while applying the latest theories to develop new products, processes, or technologies. Collaborate with teams across Google and the wider research community to publish findings and contribute to the next generation of intelligent systems.

Minimum 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 (e.g., CVPR, ICCV, NeurIPS, ICML, ICLR).

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 AI alignment, safety, responsibility, and the broader AI landscape, with an excitement to collaborate across disciplines.

Responsibilities

• Develop deep understanding of foundation model, language, and multimodal technologies and their application in product contexts.
• 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 datasets.
• Collaborate within and outside the team.
• Influence product roadmap via quantitative and qualitative analysis.

Pay

US: $174,000 - $252,000 (USD) + 15% bonus target + equity + benefits.

Benefits

Learn more about benefits at Google.