Job Description

Job Summary



Co-op Machine Learning Software Engineer

LOCATION: TORONTO & VANCOUVER

What\xe2\x80\x99s the opportunity?

We\xe2\x80\x99re looking for an enthusiastic software engineer who\xe2\x80\x99s 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\xe2\x80\x99ll be involved a project end to end \xe2\x80\x93 everything from data pre-processing to implementing machine learning algorithms and front-end development.

At Borealis AI, you\xe2\x80\x99ll 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 .

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.);

You\xe2\x80\x99re our ideal candidate if you:

• 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;

What\'s in it for you?

• 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.

About Borealis AI

Borealis AI is an AI and Machine Learning Research Institute backed by Royal Bank of Canada. Comprised of top AI researchers and engineers and motivated by the pursuit of solving intelligence, Borealis AI is advancing machine learning science, while building leading products for financial services. With 40+ scientific publications in top-tier academic venues, the institute performs research in areas, such as deep learning, reinforcement learning, language processing, AI safety, and more. Borealis AI was founded in 2016 and has over 100 team-members across its four labs in Canada.

We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is January 26th, 2024. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.

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Additional Job Details

Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City: TORONTO

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform:

Job Type: Student/Coop (Fixed Term)

Pay Type: Salaried

Posted Date: 2023-12-18

Application Deadline: 2024-01-26

Inclusion and Equal Opportunity Employment

At RBC, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work. We are taking actions to tackle issues of inequity and systemic bias to support our diverse talent, clients and communities.

We also strive to provide an accessible candidate experience for our prospective employees with different abilities. Please let us know if you need any accommodations during the recruitment process.

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