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Accelerate the ad technology evolution.
The Role
The Principal Machine Learning Architect will design and implement data-centric ML solutions, ensuring high-quality ML model development and deployment strategies for a leading ad tech company.
Summary Generated by Built In
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
- 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.
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.
Skills Required
- 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 Classification, Regression, Pattern Recognition, Recommendation Systems, etc.
- Experience with Python or other relevant programming languages and Machine Learning frameworks
- Knowledge of best practices for software engineering
Index Exchange Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Index Exchange and has not been reviewed or approved by Index Exchange.
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Affordable Benefits — Medical, dental, and vision coverage is described as fully paid for employees and often for dependents in the U.S., reducing out-of-pocket costs. While specifics vary by region, public materials consistently emphasize low-premium coverage.
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Parental & Family Support — Parental leave is positioned as generous and inclusive, with birthing parents able to take extended fully paid leave and structured return‑to‑work support. Coverage also extends to non‑birthing and adoptive parents, with fertility benefits highlighted.
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Leave & Time Off Breadth — Time off combines substantial PTO with additional health days and personal obligation days, expanding rest and recovery options. Volunteer time off and the ability to work from another location for part of the year further broaden flexibility around time away.
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The Company
What We Do
Index Exchange is a global advertising supply-side platform enabling media owners to maximize the value of their content on any screen. As a trusted partner and ally, we connect leading experience makers with the world’s largest brands to ensure a quality experience for consumers. We’re a proud industry pioneer with over 20 years of experience accelerating the ad technology evolution. With our radically transparent business practices and dedication to total market efficiency, we’re committed to upholding the integrity of the programmatic ecosystem at large. Our global teams are dedicated to driving industry standards and building technology that delivers scale, efficiency, and long-term value for our customers and partners. In our workplace, we pride ourselves on fostering an environment of openness where everyone feels connected and supported - a place where you can be your best inside or outside of work.
Why Work With Us
When you join Index Exchange, you’ll be working at an engineering-first company. Our foundation is our technology platform and all of the Indexers who come together to improve, extend, and reinvent it. We invest heavily in building an organization that’s committed to DEI&B, our core values, and our vision of total market efficiency.
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