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Machine Learning Researcher

RBC

Vancouver

Hybrid

CAD 80,000 - 120,000

Full time

3 days ago
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Job summary

RBC Borealis is seeking a Machine Learning Researcher passionate about applying cutting-edge AI techniques to solve complex problems. You will engage in impactful research, collaborate with a talented team, and develop innovative products while working with extensive datasets. This role offers growth opportunities in a supportive and inclusive environment.

Benefits

Comprehensive Total Rewards Program
Competitive compensation and bonuses
Development through coaching
Opportunity to make a local-to-global impact

Qualifications

  • Passion for solving open problems using data and algorithms.
  • Proven research track record through publications.
  • Ability to drive a research project independently.

Responsibilities

  • Develop novel AI solutions and products.
  • Conduct publishable research in machine learning.
  • Coordinate with development team to implement research.

Skills

Data Science
Decision Making
Deep Learning
Emerging Technologies
Group Problem Solving
Machine Learning
Multi-Level Communication
Programming Languages

Education

PhD in AI or related field

Tools

Python
Tensorflow
PyTorch

Job description

Job Summary

Job Description

What's the opportunity?

At RBC Borealis, you’ll be joining a team of leading researchers and software engineering specializing in machine learning. You will have access to rich and massive datasets, and to computational resources to support novel product development touching machine learning areas such as generative AI, natural language processing, and time series analysis.

We’re looking for an enthusiastic Machine Learning Researcher who’s excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As aMachine Learning Researcher, you’re looking to channel your love of playing with real-world data into industry-disrupting solutions. We're a lab that supports research on a wide variety of theoretical and applied machine learning projects.Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

Being part of our team means you’ll also have the opportunity to publish original research in peer-reviewed academic journals and participate in conferences around the world, such as NeurIPS, ICLR, ICML, CVPR and more.

Your responsibilities include:

  • Developing novel AI solutions that facilitate impactful products;

  • Conducting original, publishable research by advancing the state-of-the-art in machine learning techniques;

  • Working with the development team to transfer research work into production;

  • Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences;

  • Identifying relevant new AI technologies as they become available, and disseminating them into the bank’s technology capabilities.

You’re our ideal candidate if you have:

  • A passion for solving open problems using data and algorithms;

  • A PhD in a sub-area of AI or demonstrated research track record by means of publications and/or sophisticated AI product experience;

  • Ability to formulate and drive a research project independently without close supervision;

  • Proficiency in Python and Deep Learning packages such as Tensorflow or PyTorch.

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;

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;

  • Leaders who support your development through coaching and managing opportunities;

  • Ability to make a difference and lasting impact from a local-to-global scale.

About RBC Borealis

RBC Borealis, an RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo, and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

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Job Skills

Data Science, Decision Making, Deep Learning, Emerging Technologies, Group Problem Solving, Machine Learning, Multi-Level Communication, Programming Languages

Additional Job Details

Address:

401 GEORGIA ST W:VANCOUVER

City:

VANCOUVER

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-04-22

Application Deadline:

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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