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Job Description & How to Apply Below
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.
Qualifications Requirements PhD in computer science, machine learning, or a related field, or equivalent research experience
Eight 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 a research agenda, not only executing one: you have chosen problems before the community turned to them, and you can explain why
Experience providing scientific leadership to cross-disciplinary teams or projects bringing together 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
Advanced use of agentic tools in your own research practice, and a willingness to advance the team's practices in this area
Demonstrated ability to influence technical decisions beyond your own team, particularly with product and engineering teams
Excellent communication skills, including the ability to explain complex technical work to non-specialist audiences and to executives
Nice to have Expertise in one or more of the following areas: agent memory and tacit knowledge, continual learning, safety and alignment, security and threat detection, privacy, agent evaluation
Experience with AI systems operating in real enterprise environments, with the compliance, governance, and scale constraints that entails
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
Fluency in French, or interest in learning it, in a bilingual Montreal work environment
Export Control Regulations We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to Service Now employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, Service Now may confirm the distance between your primary residence and the closest Service Now office using a third-party service.
Equal Opportunity Employer Service Now is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), Service Now may be required to obtain export control approval from government authorities for certain…
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