Drimva

ServiceNow

Staff Research Scientist

$202K–$354K

Santa Clara, California, United States · Staff · Internship · Posted Oct 14, 2026

Experience
2 or more years of research experience post-PhD; a significant portion in an industrial setting or in direct contact with deployed systems.
Education
PhD in computer science, machine learning, or a related field, or equivalent research experience.

About the job

Conduct research to improve enterprise AI agents, focusing on their learning, memory, resilience, safety, security, privacy, and responsible deployment in real-world systems.

What you'll do

  • Set and execute research agendas, testing hypotheses against deployed enterprise systems and publishing findings.
  • Research how agents accumulate and reuse tacit knowledge, learn continuously, and operate safely, resiliently, and privately.
  • Work with researchers, engineers, product teams, and other stakeholders to influence technical decisions and move research results toward production.

What they ask for

  • PhD in computer science, machine learning, or a related field, or equivalent research experience.
  • Established publication record at top-tier venues or equivalents, with influential contributions.
  • Track record of setting and executing a research agenda; experience collaborating on cross-disciplinary teams; and strong software development skills.
  • Advanced use of agentic tools in research, ability to influence technical decisions beyond one’s team, and excellent communication skills.

Nice to have

  • Expertise in agent memory, tacit knowledge, continual learning, safety and alignment, security and threat detection, privacy, or agent evaluation; experience with AI systems in enterprise environments.
  • Contributions to open source, datasets, or benchmarks; scientific service; or academic collaboration or doctoral-student supervision.

Pay

$202,500 - $354,400 USD base salary

AI focus

Research into enterprise agentic AI, including agent memory and tacit knowledge, continual learning, resilience, safety and alignment, security and threat detection, privacy, evaluation, and responsible AI.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)