Machine Learning Engineer II

Description

The team is the AI center of excellence for a large bank and builds and deploys machine learning systems that reach more than 27 million people, helping them meet their financial goals.

The work covers deep learning, generative AI, time series forecasting, and responsible AI, with access to very large financial datasets and regular collaboration with leading academic researchers.

The team aims to stay at the frontier of machine learning across research, engineering, and practical applications.

You will tackle hard machine learning problems on real data across several formats, including banking transactions, conversation transcripts, and large document collections.

The team is made up of AI developers who have a strong record of shipping advanced solutions and who share knowledge with each other.

Interviews are scheduled with candidates the team wants to meet, and outcomes are shared by email or phone.

Responsibilities

• Build scalable machine learning frameworks used by several delivery teams, judged by adoption, reliability, developer productivity, and how well they hold up over time.
• Write clean, efficient, maintainable code that lets AI applications deploy at scale and work across many use cases.
• Work with large, real-world datasets such as banking transactions, conversation histories, and document collections.
• Keep learning new skills and explore advanced AI topics alongside a knowledge-sharing team.

Requirements

• Hold a master's or bachelor's degree in computer science, statistics, mathematics, engineering, or a related field.
• Have led the design and build of production-grade ML or data platforms.
• Have a strong background in machine learning and deep learning.
• Be strongly proficient in Python, Java, C, or C++.
• Use sound engineering judgment, making practical tradeoffs between abstraction, performance, operability, and long-term maintainability of shared systems.
• Care about good software design and pay close attention to code and API details.
• Take real pride in building robust, scalable software.
• Be highly accountable and take strong ownership of your work.
• Communicate clearly and with empathy.
• Preferred: experience with LangGraph, PyTorch, TensorFlow, JAX, or a comparable library.
• Preferred: experience building and scaling data-intensive software.
• Preferred: experience using GPUs to speed up deep learning training.

Conditions

Based in Toronto, Ontario, Canada.

Listed hours: 5.

Line of business: Analytics, Insights, and Artificial Intelligence.

Pay range is $154,000 to $199,500 CAD.

This pay range includes a temporary market premium specific to this role, which is reviewed each year.

Starting base pay depends on skills, experience, job knowledge, location, and business needs, and you can progress through the range over time.

You are welcome to ask compensation questions and discuss them openly with your recruiter.

Subject to provincial employment regulation, and each province or territory in Canada may have its own rules and requirements.

Benefits

• Total rewards include base salary, variable pay, health and well-being benefits, savings and retirement plans, paid time off, banking benefits and discounts, career development, and recognition programs.
• Regular career and performance conversations with your manager.
• Access to an online learning platform and a range of mentoring programs.
• Training and onboarding sessions to get you ready for the role.