Staff Research Scientist

7 days ago

Montréal, Canada ServiceNow Full time

**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.

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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** Team Description**:
The UI-Assist team at ServiceNow Research is pioneering generalist web agents capable of autonomously navigating complex workflows through browser-based interactions. From acting as research assistants who organize literature reviews to automating IT service requests, we push the boundaries of AI-powered automation. Our focus spans developing advanced capabilities for WorkArena, WorkArena++, and WebArena benchmarks, fine-tuning LLMs to enhance reasoning and task performance, and exploring novel approaches in dataset creation, multimodal understanding, and AI feedback-driven learning.

We are seeking a Staff Research Scientist to guide cutting-edge research and development on Large Language Models (LLMs) and multimodal web agents. This is a high-impact role that blends advanced research with engineering rigor, requiring expertise in LLM training, fine-tuning, and deployment at scale. As a key member of the UI-Assist team, you will contribute to groundbreaking advancements in building intelligent web agents and transforming the future of work.

**What You Get to Do in This Role**:

- Drive research and development of generalist web agents capable of handling diverse browser-based workflows, with a focus on improving performance in WorkArena, WorkArena++, and WebArena benchmarks.
- Conduct efforts to fine-tune LLMs for advanced reasoning and alignment with browser-based tasks, leveraging AI feedback and exploration techniques to improve model capabilities.
- Design, implement, and scale experiments for large-scale LLM pretraining and fine-tuning across multi-GPU environments.
- Innovate in multimodal agent development by integrating pixel-level web interpretation with language-based reasoning.
- Collaborate with researchers, engineers, and product managers to produce high-quality research papers, patents, and open-source contributions.
- Mentor junior team members and interns, fostering a collaborative research environment and driving the production of impactful research publications.

**Description de l'équipe**:
L'équipe UI-Assist de ServiceNow Research explore les possibilités offertes par des agents web généralistes capables de naviguer de manière autonome à travers des workflows complexes via des interactions basées sur des navigateurs. Qu'il s'agisse d'agir comme des assistants de recherche organisant des revues de littérature ou d'automatiser des demandes de service IT, nous repoussons les limites de l'automatisation pilotée par l'IA. Nos travaux se concentrent sur le développement de capacités avancées pour les benchmarks WorkArena, WorkArena++ et WebArena, l'optimisation des LLMs pour améliorer le raisonnement et les performances des tâches, ainsi que l'exploration de nouvelles approches pour la création de jeux de données, la compréhension multimodale et l'apprentissage guidé par les retours d'IA.

**Description du poste**:
Nous recherchons un(e) Chercheur(euse) pour mener des recherches et développements de pointe sur les modèles de langage à grande échelle (LLMs) et les agents web multimodaux. Ce poste, à fort impact, combine des recherches avancées avec une rigueur d'ingénierie, nécessitant une expertise dans la formation, l'affinement et le déploiement de LLMs à grande échelle. En tant que membre clé de l'équipe UI-Assist, vous contribuerez à des avancées révolutionnaires dans la création d'agents web intelligents et à la transformation du futur du travail.

**Vos responsabilités dans ce rôle**:

- Mener des recherches et développements sur des agents web généralistes capables de gérer divers workflows via

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