Principal Machine Learning Architect

4 months ago

Toronto, CanadaStaff+

Responsibilities

Design and implement complex data-centric solutions, including large-dataset verification, transformation, and feature generation.
Ensure continuous, high-quality data inputs for machine learning model development.
Design and implement model delivery systems and strategies for deploying and hosting ML models.
Manage and monitor deployed models, including potential fast or real-time inference systems.
Perform functional and process design, prototyping, testing, training, and definition of support procedures.
Collaborate cross-functionally to source data, establish requirements, and define success criteria.

Master's or PhD in a STEM field, or equivalent experience in a data scientist or closely related role.
Industry experience applying machine learning at scale.
Extensive knowledge of production infrastructure and ML model pipelines, including MLOps.
Experience with several areas including classification, regression, pattern recognition, recommendation systems, targeting systems, and ranking systems.
Experience with Python or other relevant programming languages and machine learning frameworks.
Deep knowledge of mathematics, probability, statistics, and algorithms.
Interest in performance optimization and experience working with advanced engineering teams.
Strong business acumen and ability to work cross-functionally.
Knowledge of software engineering best practices; a software engineering background is a bonus.
Published articles or papers are desirable.
Experience with machine learning competitions such as Kaggle and digital programmatic advertising is desirable.

Health, dental, and vision plans for employees and dependents.
Paid time off, health days, personal obligation days, and flexible work schedules.
Competitive retirement matching plans and equity packages.
Generous parental leave for birthing, non-birthing, and adoptive parents.
Annual well-being allowance, fitness discounts, wellness activities, commuter benefits where available, and an employee assistance program.
Mental health first aid, volunteer time off, donation matching, community events, and continuous learning resources.
The company operates as a global team with offices in Toronto, New York, Montreal, Kitchener, London, San Francisco, and other locations.

501-1,000 employees