Staff Research Scientist — AI & ML Systems Innovation

Google Inc.; New York (NY); On-site; USD 207,000 - 301,000; Full time

Job summary

Google Research in New York is seeking a Staff Research Scientist to advance a broad portfolio spanning machine learning, data mining, NLP, hardware and software performance analysis. You will design and run large‑scale experiments, prototype architectures, and deliver research results that can influence product direction across multiple teams.

You will publish findings with internal and external collaborators, set deadlines, and help grow Google’s research agenda while aligning with broader

Qualifications

• PhD in Computer Science or related field, or equivalent practical experience.
• 4 years of research experience across multiple teams or projects.
• One or more scientific publication submissions.
• 2 years of coding and leading multiple research efforts.

Responsibilities

• Author research papers to share and generate impact of research results across the organization and the research community.
• Assist in research growth by sharing research trends and best practices within the community through reviewing academic papers and serving on program committees and grant panels.
• Deliver large portions of a project by defining data structures, frameworks, design, and evaluation metrics for research solutions; identify timelines and obtain necessary resources.
• Identify new and upcoming research areas by interacting with potential external and internal collaborators, and develop long‑term research strategy and plans to expand the impact of Google research.
• Identify complex yet well‑defined problems or gaps in existing technology and engage stakeholders and leaders to address them.

Skills

Research leadership

Publication record

Cross-team collaboration

Experimental design

Education

PhD in Computer Science or related field

Job description

Google Research in New York is seeking a Staff Research Scientist to advance a broad portfolio spanning machine learning, data mining, NLP, hardware and software performance analysis. You will design and run large‑scale experiments, prototype architectures, and deliver research results that can influence product direction across multiple teams.

You will publish findings with internal and external collaborators, set deadlines, and help grow Google’s research agenda while aligning with broader