Research Machine Learning Scientist

TD•Toronto, ON

24d•CA$140,000 - CA$250,000•Onsite

About The Position

Layer 6 is the AI research centre 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 research broadly 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 always looking for people driven to be at the cutting edge of machine learning in research, engineering, and impactful applications. As a Research 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 deep learning to advance our industry leading products. Work with large-scale, real-world datasets that range from banking transactions, to large document collections. Collaborate closely with our engineering team in a fast-paced startup environment and see your research deployed in production with very short turnaround.

Requirements

PhD or Master’s degree in Computer Science, Statistics, Mathematics, Engineering or a related field
Strong background in machine learning and deep learning
2+ years of research experience with publication record
Proven track record of applying machine learning to solve real-world problems

Nice To Haves

Depth of experience in relevant ML research disciplines
Hands on experience in software systems development
Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library
Experience with Spark, SQL, or comparable database systems
Experience using GPUs for accelerated deep learning training
Familiarity with cloud computing systems like Azure or AWS
Experience in LLM post-training and inference methods
Deep understanding of reinforcement learning and its applications to agent training

Responsibilities

Research, develop, and apply new techniques in deep learning to advance our industry leading products.
Work with large-scale, real-world datasets that range from banking transactions, to large document collections.
Collaborate closely with our engineering team in a fast-paced startup environment and see your research deployed in production with very short turnaround.