About the role
This is a ripe opportunity for a Principal Machine Learning Architect to help a successful ad tech company leverage ML to further optimize our wealth of data and elevate our world-class platform to greater heights.

Here’s what you’ll be doing

Design, develop and implementation of complex data-centric solutions, including large data set verification, transformation, and feature generation

Ensure continuous high-quality input for ML model development

Design and implementation of model delivery systems

Develop effective strategies on deployment and hosting of ML models

Manage and monitor deployed models

Ability to deploy rapid or real time inferencing a plus

Here’s what you need

Masters or PhD in a STEM field or equivalent experience in a Data Scientist or closely related role

Industry experience applying ML at scale

Extensive knowledge of production infrastructure and pipelines for ML models (MLOps)

Experience with several of the following: Classification, Regression, Pattern Recognition, Recommendation Systems, Targeting Systems, Ranking Systems

Experience with Python or other relevant programming languages and Machine Learning frameworks

Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures

Interest in performance optimizations

Deep knowledge of math, probability, statistics, and algorithms

Strong business acumen with the ability to work cross-functionally to source data, establish requirements and define success

Experience working with an advanced engineering team

Knowledge of best practices for software engineering

Bonus if you have a software engineering background

Published articles or papers

Nice to Have

Experience with participating in the machine learning competitions such as Kaggle

Experience in ad tech (i.e.



knowledge of digital programmatic advertising data)

Why you’ll love working here

Comprehensive health, dental, and vision plans for you and your dependents

Paid time off, health days, and personal obligation days plus flexible work schedules

Competitive retirement matching plans

Equity packages

Generous parental leave available to birthing, non-birthing, and adoptive parents

Annual well-being allowance plus fitness discounts and group wellness activities

Commuter benefits and discounts, where available

Employee assistance program

Mental health first aid program that provides an in-the-moment point of contact and reassurance

One day of volunteer time off per year and a donation-matching program

Monthly town halls and regular community-led team events

Multiple resources and programming to support continuous learning

A workplace that supports a diverse, equitable, and inclusive environment – learn more here

Equal employment opportunity
At Index Exchange, we believe that successful products are built by teams just as diverse as the audience who uses them. As such, we are committed to equal employment opportunities. We celebrate diversity of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or veteran status. Additionally, we realize that diversity is deeper than any status or classification—diversity is the human experience. For those who show grit, passion, and humility—Index will welcome you.

Accessibility for applicants with disabilities
Index Exchange welcomes and encourages individuals with disabilities to apply to work with us. If you require an accommodation, please share the details of your request and any information how we can assist you with the hiring recruiter when they contact you. Index Exchange will make reasonable efforts to ensure accommodation requests are met throughout the recruitment process.

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📌 Principal Machine Learning Architect Toronto (Ontario)
🏢 Index Exchange
📍 Ontario