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TD

Machine Learning Scientist (Layer 6)

TD
Location
Toronto, ON
Details
Full Time
3 days ago
Company Overview

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Department Overview
Layer 6 is a leading Canadian machine learning applied research company, a fully owned subsidiary of TD Bank Group. Layer 6 develops advanced machine learning and deep learning systems that have the power to uplift large populations while advancing the field of artificial intelligence. Our research is supported by access to massive datasets, close collaboration with world renowned academic faculty, and a uniquely scalable machine learning platform.

Our technical capabilities have been publicly recognized through a number of wins in various international machine learning competitions, including the prestigious ACM RecSys Challenge (the only repeat winner in 2017 and 2018 and runner-up in 2019), Google's Landmark Retrieval Challenge (2nd place in 2018, 3rd place in 2019), the Stanford Question Answering Dataset (2nd place in 2019), 3rd YouTube-8M Video Understanding Challenge (winner in 2019) and Open Images 2019 - Visual Relationship (winner in 2019).

Job Description

As a Machine Learning Scientist, you will:
  • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
  • Research, develop, and apply new techniques in the intersection of deep learning and personalization to further advance our industry leading product.
  • Work with diverse real-life datasets that range from banking transactions, to predictive health applications, to audio/video consumption.
  • Collaborate closely with the engineering team in a fast paced startup environment and see your research deployed in production with very short turnaround.


Requirements
Required Qualifications
  • Master/PhD degree in Computer Science, Statistics, Operations Research, Mathematics or related field
  • Strong background in machine learning
  • 5+ years of research experience with publication record
  • Proven track record of applying machine learning to solve real-world problems
Preferred Qualifications
  • Experience with deep learning and/or collaborative filtering
  • Hands on experience in software systems development and SaaS applications
  • Experience with one or more Java, Matlab, Scala, Tensorflow and MXNet
  • Experience using GPUs for accelerated deep learning training
  • Familiarity with AWS


Hours
37.5

Inclusiveness

At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.
Category
Information Technology