It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. Backed by Greylock and Sequoia.
About the role
As a Staff Researcher, you will work on research questions that most AI labs simply do not have access to. ServiceNow AI Research is chartered to build the future of enterprise agentic AI, from a rare vantage point: we see how agents actually behave, inside complex enterprise environments, at scale. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- PhD in computer science, machine learning, or a related field, or equivalent research experience
- 2 or more years of research experience post-PhD, a significant portion of it in an industrial setting or in direct contact with deployed systems
- Established publication record at top-tier venues (NeurIPS, ICML, ICLR, ACL, EMNLP, or equivalents), with contributions recognized as influential in your field
- Demonstrated track record of setting/executing research agenda, not only executing one: you have chosen problems before the community turned to them, and you can explain why
- Experience working on cross-disciplinary teams or projects collaborating with researchers and engineers
- Strong software development skills: you write, maintain, and optimize high-quality research code, and you know what it takes for a result to survive the move into production
More about this role
As a Staff Researcher, you will work on research questions that most AI labs simply do not have access to. ServiceNow AI Research is chartered to build the future of enterprise agentic AI, from a rare vantage point: we see how agents actually behave, inside complex enterprise environments, at scale.
You will contribute to research initiatives on how agents accumulate and reuse tacit knowledge, learn and improve continuously, and on their resilience, their safety, and the privacy of the data they handle. These are the real obstacles to enterprise agentic deployment today, and they surface in operational reality well before they appear in the literature.
While much of the AI and NLP community concentrates on core agent capabilities, our 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 your hypotheses against real deployments rather than against benchmarks.
- PhD in computer science, machine learning, or a related field, or equivalent research experience
- 2 or more years of research...
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