About The Position
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. At RBC Borealis, 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. You can find out more about our research areas at rbcborealis.com.
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
Nice To Haves
- 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
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.)
Benefits
- Become part of a team that thinks progressively and works collaboratively.
- We care about seeing each other reach full potential
- Ability to make a difference and lasting impact from a local-to-global scale.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Number of Employees
5,001-10,000 employees
