Work Location:
Toronto, Ontario, Canada
Hours:
37.5
Line of Business:
Analytics, Insights, & Artificial Intelligence
Pay Details:
$154,000 - $199,500 CAD
The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
Job Description:
Additional Job Description
Layer 6 is the AI center of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.
Our work spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty. We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.
We are looking for world-class engineers to tackle cutting-edge problems in Machine Learning applied to the real world. Work with large-scale, real-world datasets spanning multiple modalities, ranging from banking transactions, conversation transcripts to large document collections.
As a Machine Learning Engineer, you will:
- Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge
- Build scalable machine learning frameworks across multiple delivery teams where success is measured by adoption, reliability, developer productivity, and long013term maintainability
- Write clean, efficient, and maintainable code to ensure efficient deployment of scalable AI application and generalize across multiple use cases
- Work with large-scale, real-world datasets that range from banking transactions, conversation histories, to large document collections
- Grow by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge-sharing
RequiredQualifications:
- Master or bachelor's degree in computer science, Statistics, Mathematics, Engineering or a related field
- Demonstrated experience leading the design and implementation of production013grade ML or data platforms
- Strong background in machine learning and deep learning
- Strong coding proficiency in Python, Java, C, or C++
- You bring strong engineering judgment, including making pragmatic tradeoffs around abstraction, performance, operability, and long013term maintainability of shared systems.
- You value good software design and sweat over details in code and API design
- You take great personal pride in building robust and scalable software
- You are highly accountable and have a strong sense of ownership
- You strive to communicate clearly and with empathy
PreferredQualifications:
- Experience with LangGraph, Pytorch, Tensorflow, Jax, or comparable library
- Experience with building and scaling data-intensive software
- Experience using GPUs for accelerated deep learning traiing
Training & Onboarding
We will provide training and onboarding sessions to ensure that youve got everything you need to succeed in your new role.
Interview Process
Well reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.
Accommodation
Your accessibility is important to us. Please let us know if youd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!
Language Requirement (Quebec only):
Sans Objet
