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Internship

2024 Fall Student Opportunities Borealis AI - Machine Learning Software Engineer, 4 Months - Montreal

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RBC

•

1mo ago

🚀 Off-cycle Internship

Montréal

⌛ Closed
Applications are closed

Off-cycle Internship

Software Engineering, Data•Montréal

Description

  • 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.
  • At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support ongoing development in areas such as reinforcement learning, unsupervised learning and computer vision. 

Requirements

  • 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 to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases is an asset

Education requirements

Currently Studying

Area of Responsibilities

Software Engineering
Data

Responsibilities

  • 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.)

Details

Work type

Full time

Work mode

office

Application deadline

May 18, 2024

Location

Montréal