Job Associate Machine Learning Engineer in Toronto

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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).

Customer Accountabilities:

• Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the organization
• Interpret the meaning of new strategic directions and set objectives and measurements
• Implement monitoring and feedback systems to evaluate progress and identify ways of making continuous improvements
• Gather and analyze information or data on current and future trends of best practices
• Seek information on issues impacting the progress of organizational and process issues

Shareholder Accountabilities:

• Solicit and offer ideas for improving business processes through insights with the objective of improving effectiveness and efficiency
• Educate the organization on approaches, such as testing hypotheses and statistical validation of result
• Help the organization understand the principles and the math behind the scientist process to drive organizational alignment
• Translate up to date information into continuous improvement activities that enhance performance
• Research organizational and professional trends, evaluate information sources, and collate and compare findings for bias, omission and accuracy, conduct objective analysis

Employee/Team Accountabilities:

• Continuously enhance knowledge / expertise in own area and keep current on emerging trends /developments and grow knowledge of the business, analytical tools and techniques
• Prioritize and manage own workload to deliver quality results and meet assigned timelines
• Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest
• Identify opportunities and recommend data related solutions to enhance productivity, effectiveness and operational efficiency
• Establish effective relationships across multiple business and technology partners, program and project managers
• Participate in knowledge transfer within the team and business units

Breadth and Depth:

• Work autonomously and accountable for acting as a lead within a specialized business management function and may provide work direction to others
• Provide seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members
• Scope of role may have enterprise impact
• Focus on short to medium - term issues (e.g. 6-12 months)
• Undertake and complete a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise
• Oversee and/or independently perform tasks from end to end
• Generally reports to a Senior Manager or executive role

Required Technical Skills

• BSc+ in Computer Science, Math, Physics, or similar
• 2+ years of extensive programming experience, at least 1 year in building production data systems
• 1+ year experience of building machine learning production system
• Strong experience with major Big Data technologies and frameworks including but not limited to Hadoop, MapReduce, Spark, Cassandra, Kafka, Elasticsearch
• Good knowledge of Machine Learning and Deep Learning
• Practical expertise in performance tuning, bottleneck problems analysis, and troubleshooting
• Strong experience with Scala and Java 8

Nice to have Skills

• C++, Python experience
• Experience in systems/infrastructure projects on AWS and Azure

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.