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Salary: USD 202,500 - 354,400 / annual
ServiceNow AI Research is seeking a Staff Research Scientist to work on enterprise agentic AI research from a unique vantage point: observing how AI agents actually behave inside complex enterprise environments at scale.
You will contribute to research initiatives focused on how agents accumulate and reuse tacit knowledge, learn and improve continuously, and maintain resilience, safety, and data privacy. These are the real obstacles to enterprise agentic deployment today, surfacing in operational reality well before they appear in academic literature.
While much of the AI and NLP community concentrates on core agent capabilities, this team explores the dimensions that determine real adoption: safety mechanisms, threat detection, privacy guarantees, and responsible AI practices. You will have the freedom to publish and advance the state of the art, with the rare advantage of testing hypotheses against real deployments rather than benchmarks alone.
You will work on cross-disciplinary teams collaborating with researchers and engineers, influence technical decisions beyond your own team (particularly with product and engineering), and communicate complex technical work to non-specialist audiences and executives.
REQUIREMENTS:
- PhD in computer science, machine learning, or related field, or equivalent research experience
- 2+ years of research experience post-PhD, with significant portion in industrial setting or direct contact with deployed systems
- Established publication record at top-tier venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or equivalents) with contributions recognized as influential
- Demonstrated track record of setting and executing research agenda: you have chosen problems before the community turned to them
- Experience working on cross-disciplinary teams collaborating with researchers and engineers
- Strong software development skills: write, maintain, and optimize high-quality research code; understand what it takes for results to survive production deployment
- Advanced use of agentic tools in your own research practice and willingness to advance team practices
- Demonstrated ability to influence technical decisions beyond your own team, particularly with product and engineering teams
- Excellent communication skills, including ability to explain complex technical work to non-specialists and executives
NICE TO HAVE:
- Expertise in agent memory and tacit knowledge, continual learning, safety and alignment, security and threat detection, privacy, or agent evaluation
- Experience with AI systems operating in real enterprise environments with compliance, governance, and scale constraints
- Contributions to open source software, datasets, or evaluation benchmarks used by the community
- Scientific service roles: program committees, editorial work, workshop organization
- Academic collaborations or supervision of doctoral students
