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Staff Research Scientist

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

ServiceNow conducts fundamental research to push the boundaries of what AI can achieve for enterprises. You will be part of the foundation model research program team within ServiceNow Research.

Role

You will engage in fundamental research on foundation models, focusing on natural language processing and multimodal representations within our "low-data learning" research program. Your role will involve generating and transferring knowledge while maintaining our scientific credibility within the academic community.

Responsibilities

As a research scientist, you will be responsible for setting up your own research agenda within the team's topics, supervising interns, and collaborating with colleagues and the global AI community. You will stay abreast of the latest trends and discoveries, sharing your knowledge through internal communications and collaborative projects. Additionally, you will act as a scientific advisor for other teams requiring your expertise and contribute to the company's products.

Équipe

ServiceNow mène des recherches fondamentales pour repousser les limites de ce que l'IA peut accomplir pour les entreprises. Vous ferez partie de l'équipe du programme de recherche sur les modèles fondamentaux au sein de ServiceNow Research.

Rôle

Vous participerez à des recherches fondamentales sur les modèles fondamentaux, en mettant l'accent sur le traitement du langage naturel et les représentations multimodales dans le cadre de notre programme de recherche sur « l'apprentissage avec peu de données ». Votre rôle consistera à générer et à transférer des connaissances tout en maintenant notre crédibilité scientifique au sein de la communauté académique.

Responsabilité

En tant que chercheur(euse) scientifique, vous serez chargé de définir votre propre programme de recherche dans les domaines abordés par l'équipe, de superviser des stagiaires et de collaborer avec des collègues et la communauté mondiale de l'IA. Vous vous tiendrez informé des dernières tendances et découvertes, partageant vos connaissances à travers des communications internes et des projets collaboratifs. En outre, vous agirez en tant que conseiller scientifique pour d'autres équipes nécessitant votre expertise et contribuerez aux produits de l'entreprise.

Qualifications

  • PhD in machine learning, deep learning, computer science, artificial intelligence, or a related field, along with 5 years of experience in a researcher's role.
  • A strong commitment to achieving results and a collaborative mindset is essential, as is a passion for pushing the boundaries of fundamental knowledge.
  • Experience in natural language understanding and, optionally, in multimodal representation learning, reinforcement learning, graphs, time series, and computer vision.
  • Contributions to research communities through publishing papers at top international conferences such as NeurIPS, ICLR, ICML, ACL, and CVPR is highly desirable.
  • Proficiency in scientific programming with Python and Numpy is required, with additional expertise in Java, JavaScript, or R being a plus.
  • Mastery of deep learning programming in Pytorch is essential, with experience in Tensorflow being an optional advantage.

When applying please provide:   

  • CV that include a list of relevant publications 
  • Cover letter that should introduce your research interests.

Qualifications

  • Doctorat en apprentissage automatique, apprentissage profond, informatique, intelligence artificielle ou un domaine connexe, avec au moins 5 ans d'expérience en tant que chercheur.
  • Un fort engagement à obtenir des résultats, un esprit collaboratif et une passion pour repousser les frontières des connaissances fondamentales sont essentiels.
  • Expérience en compréhension du langage naturel et, éventuellement, en apprentissage de représentations multimodales, apprentissage par renforcement, graphes, séries temporelles et vision par ordinateur.
  • Contributions à des communautés de recherche via la publication d'articles dans des conférences internationales de premier plan telles que NeurIPS, ICLR, ICML, ACL et CVPR sont fortement souhaitées.
  • Maîtrise de la programmation scientifique avec Python et Numpy requise, avec une expertise supplémentaire en Java, JavaScript ou R constituant un atout.
  • Maîtrise indispensable de la programmation en apprentissage profond avec Pytorch, l'expérience avec Tensorflow étant un avantage optionnel.

Lors de votre candidature, veuillez fournir:

  • Un CV incluant une liste des publications pertinentes.
  • Une lettre de motivation présentant vos intérêts de recherche.

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

Additional Information

Work Personas 

Nous adoptons une approche basée sur la flexibilité et la confiance vis-à-vis de notre monde du travail distribué. Les personas de travail (flexibles, à distance ou requis au bureau) sont des catégories qui sont attribuées aux employés de ServiceNow en fonction de la nature de leur travail. Cliquez ici pour en savoir plus

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. 

Extrait de Fortune. ©2024 Fortune Media IP Limited. Tous droits réservés. Utilisé sous licence. 

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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. Learn more here.

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 [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. 

From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. 

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What You Should Know About Staff Research Scientist, ServiceNow

ServiceNow, the innovative leader in cloud-based platforms, is thrilled to announce an exciting opportunity for a Staff Research Scientist to join our dynamic team in Montreal, Quebec. Here at ServiceNow, we are committed to pushing the boundaries of what AI can achieve for enterprises. As a Staff Research Scientist, you will dive deep into fundamental research, specifically within our foundation model research program, focusing on natural language processing and multimodal representations. You'll have the chance to shape your own research agenda, supervise interns, and collaborate with an inspiring global AI community. Stay ahead of the curve by keeping informed about the latest AI trends, sharing knowledge internally, and acting as a scientific advisor. Your expertise will not only contribute to our research but will also enhance the products we deliver to our clients. We’re eager to find someone passionate about advancing technological frontiers, with a Ph.D. in machine learning or a related field, and at least five years of relevant experience. If you're ready to make an impact and be part of an inclusive environment that encourages diverse backgrounds, we invite you to consider this opportunity with ServiceNow. Join us, and together we can truly make the world work better for everyone!

Frequently Asked Questions (FAQs) for Staff Research Scientist Role at ServiceNow
What are the responsibilities of a Staff Research Scientist at ServiceNow?

As a Staff Research Scientist at ServiceNow, you will engage in fundamental research, focusing on foundation models, particularly in natural language processing and multimodal representations. You will be responsible for creating your own research agenda, supervising interns, and collaborating with peers and global AI experts. Your role also includes disseminating knowledge to the team and acting as a scientific advisor for other teams needing your expertise.

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What qualifications are needed for the Staff Research Scientist position at ServiceNow?

To qualify for the Staff Research Scientist role at ServiceNow, candidates should have a Ph.D. in machine learning, computer science, artificial intelligence, or a related field, along with five years of research experience. Candidates should demonstrate a strong commitment to collaborative work, have experience with natural language understanding and multimodal representation learning, and possess skills in programming languages like Python and deep learning frameworks such as PyTorch.

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How does ServiceNow support the scientific community with the Staff Research Scientist role?

ServiceNow supports the scientific community through the Staff Research Scientist position by encouraging publishing in top international conferences such as NeurIPS, ICLR, ICML, and ACL. The role promotes collaboration with other researchers, and the scientist will share their findings through internal communications to foster an environment of knowledge transfer and innovation.

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What type of projects might a Staff Research Scientist work on at ServiceNow?

In the Staff Research Scientist role at ServiceNow, you will initiate various research projects focusing on enhancing AI applications in enterprise settings. Your projects might involve exploring the latest advancements in low-data learning, developing algorithms that improve natural language processing capabilities, or studying multimodal interactions to enhance user experiences in our products.

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What is the work culture like for a Staff Research Scientist at ServiceNow?

The work culture for a Staff Research Scientist at ServiceNow is rooted in flexibility, trust, and collaboration. Employees are encouraged to pursue their research interests in an inclusive environment that welcomes diverse perspectives. The culture emphasizes ongoing learning, teamwork, and the importance of establishing connections within the global AI community.

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Common Interview Questions for Staff Research Scientist
What motivates your research as a Staff Research Scientist?

In answering this question, it's important to express your passion for advancing AI knowledge and how it can transform industries. Share specific projects or areas of research you're particularly excited about and how they align with ServiceNow's goals.

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Can you describe a challenging research project you've worked on?

When discussing a challenging project, focus on the problem-solving strategies you employed, the methodologies you implemented, and the outcomes. Highlight how these experiences have prepared you for the challenges at ServiceNow.

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How do you stay updated with the latest trends in AI?

Share your strategies for staying current, such as attending conferences, participating in research communities, or following influential figures in AI. Mention any recent trends that you find particularly thrilling or promising.

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How would you approach mentoring interns in your research team?

Discuss your mentoring philosophy, emphasizing the importance of guidance, teaching critical thinking, and helping interns cultivate their own interests within research. Provide examples from past experiences where your mentorship made an impact.

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What do you think is the most significant trend in natural language processing right now?

Identify a few prominent trends in NLP, such as advancements in transformer models or ethical implications of AI in language processing. Explain why you believe these are crucial areas of focus for future research at ServiceNow.

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How do you prioritize tasks in your research projects?

Describe your method for assessing project timelines and implementing effective project management techniques. Mention how you factor in collaboration with team members and adaptability to shifting priorities.

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What tools do you prefer for scientific programming?

Talk about your proficiency in scientific programming languages like Python and tools such as Numpy, PyTorch, or TensorFlow. Explain how these tools help you in executing efficient and reproducible research.

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Can you discuss your experience with publishing research papers?

Highlight your publication track record, mentioning key conferences or journals where you’ve published. Discuss the importance of sharing knowledge with the research community and any insights gained through the peer review process.

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How do you handle setbacks in research?

Express resilience by sharing a specific example of a setback you faced and the lessons learned. Emphasize your approach to turning challenges into opportunities for growth and innovation.

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Why do you want to work for ServiceNow?

Convey your enthusiasm for ServiceNow's mission and values. Discuss how your research interests align with the company's objectives and how you can contribute to the overall success of the team.

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CULTURE VALUES
Inclusive & Diverse
Mission Driven
Rise from Within
Diversity of Opinions
Work/Life Harmony
Empathetic
Feedback Forward
Take Risks
Collaboration over Competition
BENEFITS & PERKS
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Conferences Stipend
Paid Time-Off
Maternity Leave
Equity
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
December 12, 2024

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