12 Jan

Applied Machine Learning Researcher Jobs Vacancy in Rbc Toronto

Applied Machine Learning Researcher
Toronto ON
12 Jan, 2018 30+ days ago

Rbc Toronto urgently required following position for Applied Machine Learning Researcher. Please read this job advertisement carefully before apply. There are some qualifications, experience and skills requirement that the employers require. Does your career history fit these requirements? Ensure you understand the role you are applying for and that it is suited to your skills and qualifications.

Follow the online directions, complete all the necessary fields, and provide all relevant information so your application is submitted correctly. When you click the 'Apply this Job' button (open in new window) you will be taken to the online application form. Here you will be asked to provide personal and contact details, respond to employment-related questions, and show how you meet the key selection criteria.

Applied Machine Learning Researcher Jobs Vacancy in Rbc Toronto Jobs Details:

Applied Machine Learning Researcher - Borealis AI

What is the opportunity?
Borealis AI is a team of researchers and developers dedicated to solving today’s leading problems in machine learning and artificial intelligence. Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

As an Applied Machine 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 open academic collaborations with leading universities in Canada and the US 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 NIPS, ICLR, ICML, CVPR and more.

What will you do?
Exploring, characterizing and employing data in order to solve challenging open problems.
Developing and implementing state-of-the-art machine learning techniques.
Interpreting larger organizational needs and designing algorithmic solutions that can drive the next generation of banking experiences.
Performing literature reviews and maintaining cutting-edge expertise in machine learning, data modeling, and statistical methods.
Attending, participating in and conducting workshops on various machine learning topics with the team.
Identifying new technologies as they become available, and disseminating them to the RBC innovation teams.
Collaborating with team members to conduct original research in machine learning.
Drafting, editing and publishing academic papers in leading scientific conferences.
Participating in Proof of Concept projects.

What do you need to succeed?
A passion for data, algorithms, and statistics.
A PhD or MSc. in computer science, engineering or another mathematically related field (e.g. Physics, Math, Statistics, etc.).
Experience with writing modular, robust, scalable software in Python 3.x.
Familiarity with the Unix command line and bash scripting.
Proficiency with Deep Learning packages such as Tensorflow, Theano, Keras and PyTorch.
Exposure to distributed computing frameworks (e.g. Hadoop, Spark) as well as SQL, NoSQL and graph databases.
The ability to frame problems, research solutions, and successfully apply generalizable models.
A deep understanding of machine learning algorithms and/or statistical modeling.
Have experience in two or more of the following areas: Traditional Machine Learning, Deep Learning, Natural Language Processing, Time-Series Analysis, Computer Vision and/or Reinforcement Learning.
Publications in fields relevant to data science or machine learning.

How to apply:
Please email your CV and GitHub (or equivalent) portfolio to mi.research@rbc.com and include where you heard about this opportunity.

What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact
Work in a dynamic, collaborative, progressive, and high-performing team
A world-class training program in financial services

Learn more about RBC Tech Jobs

About RBC
Royal Bank of Canada is Canada’s largest bank, and one of the largest banks in the world, based on market capitalization. We are one of North America’s leading diversified financial services companies, and provide personal and commercial banking, wealth management, insurance, investor services and capital markets products and services on a global basis. We have over 80,000 full- and part-time employees who serve more than 16 million personal, business, public sector and institutional clients through offices in Canada, the U.S. and 37 other countries. For more information, please visit rbc.com.

Get Career Alerts
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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at rbc.com/careers .

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.

City: Toronto
Address: 100 College St.
Work Hours/Week: 37.5
Work Environment: Office
Employment Type: Permanent
Career Level: Experienced Hire/Professional
Pay Type: Salary + Variable Bonus
Required Travel(%): 0
Exempt/Non-Exempt: N/A
People Manager: No
Application Deadline: 2017-12-31
Req ID: 146088
Posting Notes: [[mfield1]]

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