Applied Machine Learning Scientist I ATH# 5645 (Tabular Deep Learning Model Validation)

Description

The bank's Model Validation group independently validates and approves models for generative AI, natural language processing, tabular deep learning, credit, fraud, and marketing.

The AI/ML validation team checks every AI/ML model used across the bank, and this role focuses mainly on reviewing and validating deep learning models.

You report to the Senior Applied Machine Learning Scientist on the AI/ML Model Validation team.

You will work with internal partners including AI2, Layer6, P&T, and FCRM.

Responsibilities

• Research, test, and adopt new techniques for evaluating deep learning models built on tabular and structured data.
• Keep current with the field, including key publications, foundation models, evaluation metrics, explainability methods, technology stacks, and datasets.
• Build deep knowledge of AI/ML developments and share it with business partners and senior management.
• Design and put in place AI/ML model validation methods and standards, especially for tabular deep learning and foundation models, in line with industry best practice and regulatory and audit requirements.
• Work in distributed cluster and cloud environments on large datasets, from transaction data to large document collections.
• Apply a range of statistical tests and modeling techniques to find and recommend model improvements, and build benchmark models where needed.
• Carry out research on evaluating, testing, and explaining tabular deep learning and foundation models.
• Explain findings and recommendations to both technical and non-technical audiences.

Requirements

• Strong quantitative skills and an advanced degree in computer science, machine learning or AI, engineering, statistics, mathematics, or physics.
• Experience with and strong working knowledge of deep learning, modern NLP, transformers, diffusion models, and bagging and boosting methods.
• Experience with deep learning frameworks and libraries such as PyTorch and TensorFlow/Keras.
• Up-to-date knowledge of tabular deep learning, foundation models, machine learning, and cloud technologies.
• Proficiency in at least one programming language such as Python, Java, Scala, or PySpark.
• Familiarity with cloud platforms such as Azure Databricks and Azure ML Studio.
• Familiarity with data structures, algorithm design, and object-oriented programming.
• Knowledge of machine learning explainability and interpretability methods.
• Strong verbal and written communication, with the ability to write clear technical reports.
• Ability to work independently and with others in a fast-paced setting, with strong time management and multitasking skills and minimal supervision.
• Preferred: publications in relevant conferences or journals.
• Preferred: ability to implement AI/ML algorithms from academic research papers.

Conditions

Requisition ATH# 5645, Applied Machine Learning Scientist I, based in Toronto, Ontario, Canada.

Listed hours value: 5.

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

Base pay range is $105,500 to $134,500 CAD, which includes a temporary market premium for this role that is reviewed annually.

Actual pay offered may depend on skills, experience, job knowledge, location, and business needs.

You are welcome to ask your recruiter about compensation for this role.

This job is subject to provincial employment regulation, and each province or territory may have its own requirements.

Benefits

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