Company Description 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. ###### It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description En tant que Chercheur Scientifique Senior spécialisé dans la Fiabilité des Agents IA, vous contribuerez des initiatives de recherche visant à renforcer la robustesse, la sûreté et la résilience des agents IA opérant dans des environnements d'entreprise. Alors que la communauté scientifique se concentre principalement sur l'amélioration des capacités fondamentales des agents (raisonnement, action, planification), ServiceNow AI Research explore les dimensions essentielles qui permettent une adoption fiable en milieu professionnel : comportement prévisible, gestion des risques, sécurité, conformité et pratiques d'IA responsable. Dans ce rôle, vous travaillerez en étroite collaboration avec des chercheurs, des ingénieurs, des stagiaires et des partenaires académiques pour faire progresser l'agenda scientifique de l'équipe. Au-delà de la recherche scientifique, vous participerez à la stratégie d'intégration des innovations dans la plateforme ServiceNow en conseillant les équipes internes et en soutenant le transfert des technologies de recherche vers des applications concrètes. Nous attendons de tous les chercheurs scientifiques qu'ils soient capables d'écrire, de maintenir et d'optimiser du code de recherche de haute qualité pour soutenir l'expérimentation et le déploiement. ###### As a Senior Research Scientist specializing in AI Agent Reliability, you will contribute to research initiatives aimed at strengthening the robustness, safety, and resilience of AI agents operating in enterprise environments. While much of the scientific community focuses on advancing the core capabilities of agents (reasoning, acting, planning), ServiceNow AI Research explores the critical dimensions that enable reliable adoption in enterprise settings: predictable behavior, risk management, security, compliance, and responsible AI practices. In this role, you will work closely with researchers, engineers, interns, and academic partners to advance the team's scientific agenda. Beyond scientific research, you will contribute to the strategic integration of research innovations into the ServiceNow platform, advising internal teams and supporting the transfer of research technologies into practical applications. We expect all research scientists to be able to write, maintain, and optimize high-quality research code to support experimentation and deployment. ##### Responsabilités - Mener des recherches fondamentales et/ou appliquées sur la fiabilité, la robustesse et la sûreté des agents IA (ex. : sécurité, alignement, supervision, robustesse aux perturbations). - Contribuer à des projets de recherche à fort impact de l'équipe. - Collaborer avec les équipes internes de produit et d'ingénierie pour intégrer les avancées de recherche dans la plateforme ServiceNow. - Participer activement à la communauté scientifique par des publications, des conférences et des contributions open source. - Se tenir au fait des avancées en matière d'architectures d'agents, de sécurité, de sûreté, de gouvernance et d'IA responsable. #### Responsibilities - Conduct fundamental and/or applied research on the reliability, robustness, and safety of AI agents (e.g., security, alignment, supervision, resilience to perturbations). - Contribute to the team's high-impact research projects. - Collaborate with internal product and engineering teams to integrate research advances into the ServiceNow platform. - Actively engage with the broader research community through publications, conferences, and open-source contributions. - Stay informed about advances in agent architectures, security, safety, governance, and responsible AI. Qualifications - Doctorat en apprentissage automatique, informatique, intelligence artificielle ou domaine connexe est un atout. - De préférence 2+ années d'expérience en recherche fondamentale ou appliquée - Antécédents démontrés dans des travaux sur la fiabilité, la sécurité, la robustesse ou la gouvernance de l'IA - idéalement appliqués aux agents IA ou grands modèles de langage. - Solides compétences en ingénierie logicielle, notamment en Python (NumPy, PyTorch) ; une connaissance de Java, JavaScript ou R est un atout. - Contributions à des conférences de recherche de premier plan telles que NeurIPS, ICLR, ICML, ACL, EMNLP, ou équivalentes est un atout. - Esprit proactif, collaboratif et rigoureux, capable d'équilibrer ambition scientifique et pertinence applicative. ##### - Ph.D. in machine learning, computer science, artificial intelligence, or a related field is a plus. - Preferably 2+ years of experience in fundamental or applied research. - Proven track record in topics related to AI reliability, safety, robustness, or governance - ideally applied to AI agents or large language models. - Strong software engineering skills, particularly in Python (NumPy, PyTorch); familiarity with Java, JavaScript, or R is a plus. - Contributions to top-tier research conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP, or equivalent is a plus. - A proactive, collaborative, and rigorous mindset, capable of balancing scientific ambition with practical relevance. Additional Information 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 globaltalentss@servicenow.com 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. Extrait de Fortune. ©2025 Fortune Media IP Limited. Tous droits réservés. Utilisé sous licence. ###### 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, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, 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 globaltalentss@servicenow.com 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. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

• Design, build, and improve speech language models for spoken response understanding, pronunciation analysis, fluency, prosody, and communicative effectiveness. • Develop and evaluate automated scoring and feedback pipelines for speaking tasks used in: • AI‑driven speaking practice with instant feedback (learner‑facing). • Job‑relevant oral communication and soft‑skills assessments (hiring‑facing). • Train, fine‑tune, and evaluate acoustic models, cascading models, speech-to-speech models, speech LMs, and scoring models, including neural and large language model–based approaches. • Design experiments and conduct quantitative performance, reliability, and validity analyses to ensure assessment quality and decision integrity. • Work across a range of speaking constructs such as interactional competence, pragmatic competence, spoken critical thinking skills etc. • Perform detailed error analysis, intra- and inter-agent rater reliability studies on ASR outputs, spoken features, and scoring behaviors to guide model and product improvements. • Collaborate with product, UX, and assessment scientists to integrate models into interactive experiences such as practice simulations, and hiring workflows. • Apply responsible AI principles to speech systems, including fairness across accents, dialects, and proficiency levels, as well as transparency of feedback and scores. • Support model monitoring and governance in production environments, ensuring ongoing quality and compliance for high‑stakes use cases. • Act as the technical lead for an AI conversational assessment product, partnering closely with a Product Manager to translate assessment goals, user needs, and business constraints into model and system design decisions. • Shape end‑to‑end conversational assessment design (task structure, prompts, turn‑taking, scoring logic, feedback timing) in collaboration with product and assessment stakeholders. • Balance assessment validity, user experience, system latency, and scalability when making model and system design trade‑offs for production conversational assessments.

• Help trailblaze company efforts in applying AI within conventional compilation pipelines • Design and implement AI-based technology addressing core problems of low-level GPU programming • Build training pipelines for supervised fine-tuning and reinforcement learning (RL/RLHF-style or policy optimization variants) • Define model inputs/outputs over compiler low level compiler representations • Develop evaluation frameworks to measure code quality, runtime, compile-time overhead, and correctness • Intelligent (domain task based) prompt engineering • Collaborate with compiler engineers to integrate learned policies into production toolchains • Prototype and iterate on model architectures, prompts, and fine-tuning strategies for scheduling and allocation tasks • Create datasets from compiler traces, optimization passes, and target-specific performance signals • Apply RL techniques to optimize for downstream objectives (performance, spill reduction, instruction-level parallelism, etc.) and run rigorous experiments, ablations, and benchmarking across workloads and hardware targets

About Us Mentis AI works at the intersection of institutional finance expertise and frontier AI systems. Our team combines deep financial services experience (Lazard, Partners Group) with machine learning and applied AI research. Operating across London and San Francisco, we collaborate with leading AI labs to improve how models reason, generalize, and make decisions in high-stakes financial contexts. The Opportunity This residency is designed for senior research analysts and portfolio managers who want exposure and a meaningful experience towards the direction of AI in your domain and earn early, practical exposure at using advanced AI system. You will: - Prompt: Develop and iterate realistic prompts that you would ask a junior role to test the relevance and quality of AI-generated insights. - Compare human vs. machine judgment: Systematically evaluate divergence between professional banking judgment and AI outputs across M&A, ECM, DCM, and leveraged finance contexts. - Design frameworks: Translate how senior bankers evaluate transactions, structure deals, and advise clients through origination, execution, and close into problems that push the limits of AI reasoning. - Construct expert benchmarks: Build and validate real-world transaction analyses, valuation frameworks, and deal materials used to evaluate frontier AI systems Why This Experience Is Valuable - Hands-on exposure to how AI is reshaping deal workflows, from pitching and origination through financial modeling, fairness opinions, and transaction close. - You will be among the first investment banking professionals to work directly on how frontier AI models reason about transaction structuring, valuation, and capital markets execution. Who You Are - 3–7 years of experience in investment banking or capital markets at a bulge bracket or elite boutique (e.g. Goldman Sachs, Morgan Stanley, J.P. Morgan, Bank of America, Citi, Barclays, UBS, Deutsche Bank, Wells Fargo, Evercore, Moelis, Centerview, Lazard, Jefferies) - Associate, VP, or Director level across M&A, industry coverage, ECM/DCM, leveraged finance, or syndicate - Deep expertise in at least one of: M&A deal structuring and valuation, equity or debt capital markets execution, sector-specific coverage, or syndicate/book-running - Strong financial modeling skills (including LBO, 3-statement, DCF) and comfort with complex transaction analysis, fairness opinions, and client-facing materials - Ability to articulate investment banking judgment clearly and precisely in writing - Genuine intellectual curiosity about the application of AI in financial services Residency Structure - Commitment: 15+ hours/week, flexible scheduling - Location: Remote globally, or in-person if based in London - Compensation: Hourly rate depending on experience - Start date: Immediate / Rolling