Principal Machine Learning Architect

Toronto (8 Spadina Ave)

Engineering

Hybrid

Full-time

At Index Exchange, we’re reinventing how digital advertising works—at scale. We are a globally trusted independent supply-side platform, powering intelligent decisioning to maximize value for media owners and deliver stronger outcomes for buyers.

We’re a proud industry pioneer with over 20 years of experience accelerating the ad technology evolution. Our proprietary tech is trusted by some of the world’s largest brands and media owners and plays a crucial role in keeping the internet open, accessible, and largely free.

We process more than 550 billion real-time auctions every day (in comparison, Google processes about 14 billion searches per day) with ultra-low latency. Our platform is vertically integrated from servers to networks and runs on our own metal and cloud infrastructure. This end-to-end infrastructure is designed to provide both stability and agility, enabling us to adapt quickly as the market evolves.

At the core of it all is our engineering-first culture. Our engineers tackle internet-scale problems across tight-knit, global teams. From moving petabytes of data and optimizing with AI to making real-time infrastructure decisions, Indexers have the agency and influence to shape the future of advertising. We move fast, build thoughtfully, and stay grounded in our core values.

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.

We have our first generation of successful ML projects live and are well on our way to our second. With Machine Learning continuing to mature, the ability to influence core architectures are huge and there are significant untapped business opportunities with our growing data and transaction volume. We are looking for a candidate with a track record of large-scale end to end ML solutions.

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 fast 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

• Bi-weekly 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 –

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.

Index everywhere, Index anywhere

Our corporate headquarters are in Toronto, with major offices in New York, Montreal, Kitchener, London, San Francisco, and many other global cities. As a major global advertising exchange, we are committed to operating as a tightly knit global team and embracing and empowering talent wherever our colleagues may be.

AI Disclaimer: Automated tools including artificial intelligence may be used to assist in screening and assessing applicants for this role. All hiring decisions involve human review.

Vacancy Status: This posting is for an existing vacancy.