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Added 6 mins ago
Platform Engineer
Hays
Toronto, ON
Contract
We are seeking a highly skilled Senior/Lead Platform Engineer with strong expertise in Azure, Databricks, Python, PySpark, and Spark SQL to design, develop, and support scalable cloud-based…
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$150,000 to $175,000 CAD / year
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Closed listing

ServiceNow

Principal Research Scientist

6650 St. Urbain Street Suite 500, Montreal, QC, H2S 3G9, Canada

Job type: Full-time
Posting language: English · French
Posted: Sep 24, 2026

This opening has closed.

The original listing is kept below for reference.

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Added 5 mins ago
Research Associate
RI-MUHC | Research Institute of the MUHC | #rimuhc · Montreal, QC, Canada
Added 3 hours ago
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Research Associate
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Added 3 days ago
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Original job description

Archived listing. The details below describe a past opening.

English section of this bilingual listing.

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone - freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow - helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.

Join us to put AI to work for people.

As a Principal 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 lead 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.

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

Work Personas

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 ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow 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 [email protected] 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), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

Employee Type: Regular

Region: AMS - North America and Canada

Work Persona: Flexible

Read the full bilingual original

Description de l'entreprise

Tout a commencé sous le soleil de San Diego, en Californie, en 2004, lorsqu’un ingénieur visionnaire, Fred Luddy, a vu le potentiel de transformer notre façon de travailler. Aujourd’hui, ServiceNow se présente comme un leader mondial du marché, apportant une technologie innovante améliorée par l’IA à plus de 8 100 clients, dont 85% des entreprises du Fortune 500®. Notre plateforme intelligente basée sur le nuage connecte de manière transparente les personnes, les systèmes et les processus pour permettre aux organisations de trouver des méthodes de travail plus intelligentes, plus rapides et meilleures. Mais ce n’est que le début de notre voyage. Joignez-vous à nous dans la poursuite de notre objectif de rendre le monde meilleur pour tous.

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Join us to put AI to work for people.

Description du poste

En tant que chercheuse ou chercheur principal, vous travaillerez sur des questions de recherche auxquelles la plupart des laboratoires d'IA n'ont tout simplement pas accès. ServiceNow AI Research a pour mandat de construire le futur de l'agentique en entreprise, avec une position d'observation rare: nous voyons comment les agents se comportent réellement, dans des environnements d'entreprise complexes et à grande échelle.

Vous dirigerez des initiatives de recherche sur la capacité des agents à accumuler et à réutiliser le savoir tacite, à apprendre et à s'améliorer en continu, ainsi que sur leur résilience, leur sûreté et la confidentialité des données qu'ils manipulent. Ces questions sont aujourd'hui les vrais obstacles au déploiement de l'agentique en entreprise, et elles se révèlent dans la réalité opérationnelle avant d'apparaître dans la littérature.

Alors qu'une grande partie de la communauté en IA et en TAL se concentre sur les capacités de base des agents, notre équipe explore les dimensions qui déterminent l'adoption réelle: mécanismes de sûreté, détection de menaces, garanties de confidentialité et pratiques d'IA responsable. Vous aurez la liberté de publier et de faire avancer l'état de l'art, avec l'avantage rare de valider vos hypothèses contre des déploiements réels plutôt que contre des bancs d'essai.

Qualifications

Doctorat en informatique, en apprentissage automatique ou dans un domaine connexe, ou expérience de recherche équivalente
Huit années ou plus d'expérience en recherche après le doctorat, dont une part significative dans un contexte industriel ou en lien direct avec des systèmes déployés
Dossier de publications établi dans des lieux de premier plan (NeurIPS, ICML, ICLR, ACL, EMNLP ou équivalents), avec des contributions reconnues comme influentes dans votre domaine
Antécédents démontrés de définition d'un agenda de recherche, et non seulement d'exécution: vous avez choisi des problèmes avant que la communauté ne s'y intéresse et vous pouvez expliquer pourquoi
Expérience de direction scientifique d'équipes ou de projets pluridisciplinaires réunissant chercheurs et ingénieurs
Solides compétences en développement logiciel: vous écrivez, maintenez et optimisez du code de recherche de qualité, et vous savez ce qu'il faut pour qu'un résultat survive au passage en production
Usage avancé des outils agentiques dans votre propre pratique de recherche, et volonté de faire progresser les pratiques de l'équipe sur ce plan
Capacité démontrée à influencer des décisions techniques en dehors de votre propre équipe, notamment auprès d'équipes produit et ingénierie
Excellentes aptitudes de communication, incluant la capacité à expliquer des travaux techniques complexes à un public non spécialisé et à des dirigeants

Atouts

Expertise dans un ou plusieurs des axes suivants: mémoire et savoir tacite des agents, apprentissage continu, sûreté et alignement, sécurité et détection de menaces, confidentialité, évaluation d'agents
Expérience de travail sur des systèmes d'IA opérant dans des environnements d'entreprise réels, avec les contraintes de conformité, de gouvernance et d'échelle que cela implique
Contributions à des logiciels ouverts, à des jeux de données ou à des bancs d'évaluation utilisés par la communauté
Rôles de service scientifique: comité de programme, édition, organisation d'ateliers
Collaborations académiques ou supervision de doctorants
Maîtrise du français ou intérêt à l'apprendre, dans un environnement de travail montréalais bilingue

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

Informations supplémentaires

Work Personas

Nous abordons notre monde du travail distribué avec flexibilité et confiance. Les profils de travail (flexible, à distance ou requis au bureau) sont des catégories attribuées aux employés de ServiceNow en fonction de la nature de leur travail et de leur lieu de travail assigné. Pour en savoir plus, cliquez ici. Pour déterminer l'éligibilité à un profil de travail, ServiceNow peut confirmer la distance entre votre résidence principale et le bureau ServiceNow le plus proche à l'aide d'un service tiers.

Equal Opportunity Employer

ServiceNow est un employeur qui souscrit au principe de l'égalité d’accès à l’emploi. Tous les candidats qualifiés recevront une considération pour l’emploi sans égard à la race, la couleur, la croyance, la religion, le sexe, l’orientation sexuelle, l’origine nationale ou la nationalité, l’ascendance, l’âge, le handicap, l’identité ou l’expression de genre, l’état matrimonial, le statut d’ancien combattant ou toute autre catégorie protégée par la loi. De plus, tous les candidats qualifiés ayant des antécédents d’arrestation ou de condamnation seront pris en considération pour un emploi conformément aux exigences légales.

Accommodations

Nous mettons tout en œuvre offrir une expérience accessible et inclusive pour tous les candidats. Si vous avez besoin d’une mesure d’adaptation raisonnable pour compléter une partie du processus de candidature ou si vous n’êtes pas en mesure d’utiliser cette candidature en ligne et que vous avez besoin d’une autre méthode pour postuler, veuillez communiquer avec [email protected] pour obtenir de l’aide.

Export Control Regulations

Pour les postes nécessitant l’accès à une technologie contrôlée assujettie aux règlements sur les contrôles à l’exportation, y compris les U.S. Export Administration Regulations (EAR), ServiceNow peut être tenu d’obtenir l’approbation des autorités gouvernementales en matière de contrôle des exportations pour certaines personnes. Tout emploi est subordonné à l’obtention par ServiceNow d’une licence d’exportation ou d’une autre approbation qui pourrait être requise par les autorités de contrôle des exportations compétentes.

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Work Personas

Equal Opportunity Employer

Accommodations

Export Control Regulations

Employee Type: Regular

Region: AMS - North America and Canada

Work Persona: Flexible

About employer

More about this job

Responsibilities

You will lead research initiatives focused on enterprise agentic AI, specifically addressing tacit knowledge accumulation, continuous learning, and system resilience. You will also influence technical decisions across product and engineering teams while advancing the state of the art in AI safety and privacy.

Requirements

Candidates must hold a PhD in computer science or a related field with at least eight years of post-doctoral research experience in industrial or deployed system environments. A strong publication record at top-tier venues and demonstrated experience in setting research agendas are essential.

Skills

Artificial Intelligence
Machine Learning
Natural Language Processing
Agentic AI
Software Development
Research Leadership
Data Privacy
Safety Mechanisms
Threat Detection
Responsible AI
Cross-disciplinary Leadership
Technical Communication
Continual Learning
Enterprise Systems
Algorithm Optimization

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Agentic AI
Natural Language Processing
NeurIPS
ICML
ICLR
ACL
EMNLP
Enterprise Software
Research Scientist
Data Privacy
AI Safety
Threat Detection
Software Engineering
Continual Learning
Tacit Knowledge
Responsible AI
Cloud Computing
Algorithm Development
System Architecture
Governance
Compliance
Cross-functional Leadership
Technical Strategy

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