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Associate Machine Learning Engineer Intern

1 month ago

Montreal, 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

Ce que vous ferez :

  • Concevez les composants de traitement du langage naturel des capacités NLU de ServiceNow en améliorant les algorithmes d’apprentissage profond de base.
  • Participer à la collecte de données, à la création de repères, etc.
  • Développer des idées brevetables innovantes qui assurent la compétitivité de ce produit dans le domaine d’un travail similaire effectué dans l’industrie.
  • Faites progresser les capacités de langage naturel de la plate-forme ServiceNow.
  • Apportez de l’intelligence aux flux de travail des clients en tirant parti de leurs données individuelles.
  • Données structurées (évolution de l’état du flux de travail, tables de base de données).
  • Données non structurées (énoncés, descriptions, documents).
  • Écrivez, débogez et testez à l’aide d’un mélange de JavaScript et de Java côté serveur.
  • Implémentez des interfaces Web à l’aide de frameworks JavaScript tels que React, Angular et CSS
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What you’ll be doing:

  • Design the natural language processing components of ServiceNow NLU capabilities by enhancing core deep learning algorithms.
  • Participate in data collection, creating benchmarks, etc.
  • Develop innovative patentable ideas that ensure the competitiveness of this product within the domain of similar work being done in the industry.
  • Advance the natural language capabilities of the ServiceNow platform.
  • Bring intelligence to customer workflows by leveraging their individual data.
  • Structured data (workflow state evolution, database tables).
  • Unstructured data (utterances, descriptions, documents).
  • Write, debug, and test using a mix of JavaScript and server-side Java.
  • Implement web interfaces using JavaScript frameworks like React, Angular and CSS
Qualifications

Qui vous êtes :

  • Solides connaissances théoriques et expérience pratiques en apprentissage automatique / apprentissage profond.
  • Expérience de l’utilisation d’incorporations (intégrations contextuelles / intégrations multi-modèles).
  • Solide expérience pratique pour l’approcher, la conception et la construction systématiques d’une solution d’apprentissage automatique / apprentissage profond, l’évaluer et la produire.
  • Solides compétences en communication écrite et verbale
  • Expérience en Java, ou Python et connaissance pratique de JavaScript.
  • Familiarité avec les bases de données relationnelles: MySQL , Oracle (Facultatif)
  • Des niveaux élevés de créativité et des capacités de résolution rapide de problèmes
  • Préféré : Expérience démontrée en génie logiciel provenant d’un stage antérieur, d’une expérience de travail, de concours de codage ou de publications
  • Préféré: expérience dans les solutions basées sur le traitement du langage naturel (NLP) / compréhension du langage naturel (NLU)

Vous ne savez pas si vous possédez toutes les qualifications? Nous vous encourageons tout de même à postuler Nous accordons une grande importance à l'inclusion et accueillons des candidats de divers horizons, y compris des parcours non traditionnels. Les expériences uniques sont une source de richesse pour notre équipe, et la volonté de rêver grand fait de vous des candidats d'exception.

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Who you are:

  • A current student pursuing an undergraduate degree and graduating no earlier than December 2025
  • Solid Machine learning/Deep learning theoretical knowledge and practical experience.
  • Experience using embeddings (context-aware embeddings/multi-model embeddings).
  • Solid practical experience to systematically approach, design, and build a machine learning/deep learning solution, evaluate it, and productionize it.
  • Strong written and verbal communication skills
  • Experience in Java, or Python and working knowledge of JavaScript.
  • Familiarity with relational databases: MySQL , Oracle (Optional)
  • High levels of creativity and quick problem-solving capabilities
  • Preferred: Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications
  • Preferred: experience in Natural Language Processing (NLP)/Natural Language Understanding (NLU) based solutions

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 avecglobaltalentss@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. 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 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. 2024 Fortune Media IP Limited. All rights reserved. Used under license.

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