Machine Learning Research Engineer

0000050007 Royal Bank of Canada; Waterloo; On-site; CAD 90,000 - 130,000; Full time

Job summary

Join RBC Borealis as a Machine Learning Research Engineer, where you'll leverage your deep learning and NLP expertise to develop innovative AI solutions. Collaborate with researchers and engineers, utilize massive datasets, and contribute to impactful projects within a thriving organization dedicated to ethical AI.

Benefits

Comprehensive Total Rewards Program

Flexible benefits

Competitive compensation and bonuses

Qualifications

• 2+ years of applied machine learning experience.
• Strong communication skills and collaboration.
• Experience in a high-responsibility, minimal-supervision environment.

Responsibilities

• Building machine learning-based software solutions.
• Collaborating with business stakeholders to prototype solutions.
• Reviewing and optimizing prototype solutions.

Skills

Machine Learning

Deep Learning

Natural Language Processing

Software Development

Python

Education

Master's or PhD in Computer Science, Mathematics, Physics, or Economics

Tools

PyTorch

JAX

Tensorflow

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 Research Engineer who’s excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a ML Research Engineer in the applied research team, you’ll be part of a collaborative group who aims to deliver AI projects end to end – everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. The goal is to understand the needs of our business partners and bring to life these unique and efficient solutions that can only be achieved through the use of machine learning. Your responsibilities include :

Building machine learning-based software solutions;

Collaborating with business stakeholders to prototype machine-learning solutions rapidly;

Conducting comparisons to existing algorithms and baselines;

Reviewing, extending, and optimizing prototype solutions;

Collaborating with the engineering team to integrate algorithms into products;

Developing reusable internal tools to facilitate research prototyping;

Supporting projects with thorough documentation, design decisions, and capabilities.

You’re our ideal candidate if you have :

A master’s or PhD degree in computer science, mathematics, physics, economics or equivalent;

2+ years of applied machine learning experience in a high-responsibility, minimal-supervision environment;

Experience with writing modular, robust, scalable software in Python 3.x;

Expertise in a few of the following areas : deep learning, natural language processing, information retrieval;

Experience with deep learning packages such as PyTorch, JAX, or Tensorflow;

Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews, and source control management;

Strong communication skills and a collaborative attitude.

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.

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Machine Learning Engineer • 420 WES GRAHAM WAY, FLOOR 3:WATERLOO