2024 Winter Student Opportunities Borealis Ai

2 weeks ago


Montréal, Canada Royal Bank of Canada Full time

**Résumé de l’emploi**

**Description du poste**

Ingénieur logiciel, Apprentissage machine, Programme coopératif

LIEU : MONTRÉAL

**Quelle est l’occasion à saisir ?**:
Nous sommes à la recherche d’un ingénieur logiciel enthousiaste, désireux de jouer un rôle de premier plan dans le domaine des technologies d’apprentissage machine, et de résoudre des problèmes hautement complexes.

**Dans ce rôle, vous devrez communiquer fréquemment avec le bureau national à Toronto.**

**Vos principales responsabilités comprennent**:

- Développer des solutions logicielles d’apprentissage machine en vue de résoudre des problèmes majeurs.
- Collaborer avec des équipes de recherche et d’affaires pour décider des meilleures solutions.
- Optimiser les algorithmes et les prototypes de solutions en vue de leur mise en œuvre efficace.
- Transformer les prototypes en solutions parfaitement fonctionnelles et abouties, prêtes à un usage interne ou externe.
- Soutenir les projets en fournissant toute la documentation nécessaire sur l’utilisation, les décisions conceptuelles et les capacités des solutions.
- Extraire, transformer et charger de vastes ensembles de données au moyen de technologies d’informatique distribuée (Hadoop, Spark, etc.).
- vous étudiez pour obtenir un baccalauréat ou une maîtrise en informatique, en génie informatique, en génie logiciel ou un équivalent ;
- vous possédez de l’expérience en développement de logiciels (comprend les programmes coopératifs et les stages) ;
- vous possédez de l’expérience dans l’écriture de logiciels dans l’un des principaux langages tels que C++, C#, Java, Python ;
- vous avez une bonne connaissance de l’écriture de lignes de commandes et du scriptage Bash dans Unix ;
- vous possédez de l’expérience dans l’utilisation de cadriciels d’apprentissage profond tels que Tensorflow, Theano, Keras et PyTorch (un atout) ;
- vous êtes habitué avec les infrastructures d’informatique distribuée (p. ex. Hadoop, Spark), ainsi qu’avec SQL, NoSQL et les bases de données orientées graphe (un atout).

**Avantages du poste**:

- Vous ferez partie d’une équipe toujours en quête de nouvelles solutions et axée sur le travail collaboratif. Nous cherchons à aider nos collègues à atteindre leur plein potentiel.
- Vous aurez l’occasion d’apporter une contribution importante et d’avoir une influence durable, tant à l’échelle locale qu’à l’échelle mondiale.

**À propos de Borealis AI**:
Borealis AI est un institut de recherche sur l’intelligence artificielle (IA) et l’apprentissage machine soutenu par la Banque Royale du Canada. Composé de chercheurs et d’ingénieurs réputés dans le domaine de l’IA se consacrant à la recherche sur l’intelligence, Borealis AI fait progresser l’apprentissage machine tout en développant des produits de pointe pour les services financiers. Fort de plus de 40 publications scientifiques dans de prestigieuses revues universitaires, l’institut mène des recherches dans des domaines comme l’apprentissage profond, l’apprentissage par renforcement, le traitement du langage et la sécurité en matière d’IA. Borealis AI a été fondé en 2016 et ses quatre laboratoires au Canada totalisent plus de 100 employés.

Co-op Machine Learning Software Engineer

LOCATION: MONTREAL

**What’s the opportunity?**:
We’re looking for an enthusiastic software engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems. As a** Co-op Machine Learning Software Engineer**, you’ll be involved a project end to end - everything from data pre-processing to implementing machine learning algorithms and front-end development.

In this role, you will communicate frequently with head office staff in Toronto.

**Your responsibilities include**:

- Building machine learning-based software solutions for solving important problems;
- Collaborating with research and business teams to converge on the best solutions;
- Optimizing algorithms and prototypical solutions for efficient implementation;
- Extending prototypes into fully functional, polished solutions ready for internal and/or external use;
- Supporting projects with thorough documentation of usage, design decisions and capabilities;
- Extracting, transforming and loading massive datasets using distributed computing framework technologies (Hadoop, Spark, etc.);
- Are working on a bachelors or masters degree in Computer Science, Computer Engineering, Software Engineering, or equivalent;
- Have some software development experience (including co-op and internships);
- Have experience with writing software in one of the major languages such as C++, C#, Java, Python;
- Have familiarity with the Unix command line and bash scripting;
- Experience with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch is an asset;
- Exposure t


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