Research Machine Learning Scientist II (3617)

TD; Canada; On-site; CAD 140,000 - 190,000; Full time

Job summary

A leading banking institution in Toronto is looking for a Research Machine Learning Scientist to advance its products through deep learning techniques. This role involves collaborating with engineering teams to deploy research rapidly and work with large datasets. Ideal candidates will possess a PhD or Master’s degree, a strong background in machine learning, and experience in software development. The position offers a salary range of $140,000 - $190,000 CAD and a commitment to professional growth and skill development.

Qualifications

• Strong background in machine learning and deep learning.
• 2+ years of research experience with a publication record.
• Proven track record of applying machine learning to solve real-world problems.

Responsibilities

• Join a world-class team of machine learning researchers.
• Research, develop, and apply new deep learning techniques.
• Collaborate with engineering to deploy research in production.

Skills

Machine learning

Deep learning

Statistical analysis

Data manipulation

Education

PhD or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field

Tools

Pytorch

TensorFlow

Jax

SQL

Spark

Azure

AWS

Job description

Work Location: Toronto, Ontario, Canada

Hours: 37.5

Line of Business: Analytics, Insights, & Artificial Intelligence

Pay Details: $140,000 - $190,000 CAD

The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD.

Day-to-day as a Research Machine Learning Scientist

• 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.
• Grow your expertise by continuously learning new skills and exploring advanced topics in AI with a team that thrives on knowledge‑sharing.
• Represent the team at leading ML conferences, present your research, and stay at the forefront of the field.

Required Qualifications

• 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 a publication record.
• Proven track record of applying machine learning to solve real-world problems.

Preferred Qualifications

• 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.

Interview Process

We will reach out to candidates of interest to schedule an interview. We aim to communicate outcomes to all applicants by email or phone call.

Accommodation

Your accessibility is important to us. Please let us know if you would 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.