Senior Research Engineer, Machine Learning

4 weeks ago

Toronto ON, Canada Borealis AI Full time

Borealis AI is looking for an enthusiastic Senior Research Engineer who’s excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems in the financial services industry. As a Senior Research Engineer, you’ll be part of a collaborative team delivering AI projects end to end – everything from scoping and defining the AI problem, to data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. At Borealis AI, you’ll be joining a team that works directly with leading researchers in machine learning, have access to rich and massive datasets, and offers the computational resources to support cutting-edge machine learning R&D.

To provide technical leadership throughout the research and product development lifecycle to deliver cutting edge AI solutions;
To partner with Borealis AI’s business, product, research, and engineering teams to ensure the seamless delivery of these products;
To engage in applied research experimentation to build and improve upon algorithms and models used in Borealis AI’s products;
To support projects with thorough documentation, design decisions, and technical advisory.

Ability to independently drive the ML research process, including engineering novel relevant features, integrating mixed data sources, applying off-the-shelf ML models when appropriate, and inventing/developing new ML models when necessary;
Proficient in Python, data science tooling, and deep learning frameworks;
Ability to collaborate with colleagues spanning a mix of business, product, engineering, and research teams through both written and oral communications.

Any of these additional skills would also be helpful in this role:
Experience monitoring and maintaining a production ML system operating continuously in real time;
Experience working with time series data, especially highly stochastic and/or non-stationary processes;
Experience with statistical hypothesis testing, scientific experimental techniques, A/B testing, or similar;
Experience with algorithmic trading, KDB/q, price prediction/alpha generation, or financial machine learning.

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, and stock options where applicable;
Ability to make a difference and lasting impact from a local-to-global scale.

Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre
dedicated to achieving state-of-the-art in machine learning. 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.

  • Research engineer in machine learning

    5 days ago

    Toronto, Ontario, Canada Borealis AI Full time

    Borealis AI is looking for an enthusiastic Senior Research Engineer who's excited by the opportunity of being at the forefront of machine learning technology, and working on extremely challenging problems in the financial services industry. As a Senior Research Engineer, you'll be part of a collaborative team delivering AI projects end to end – everything...

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