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Accelerate the ad technology evolution.
The Role
The Senior Machine Learning Engineer will design, implement, and optimize MLOps systems, mentor teams, and solve complex problems while supporting scalable ML models and strategies.
Summary Generated by Built In
At Index Exchange, we’re reinventing how digital advertising works—at scale. As a global advertising supply-side platform, we empower the world’s leading media owners and marketers to thrive in a programmatic, privacy-first ecosystem.
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 8.5 billion searches per day) with ultra-low latency. Our platform is vertically integrated from servers to networks and runs primarily 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:
We’re looking for a Senior Machine Learning Engineer who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our Index-wide technology strategy for machine learning and optimization, and to drive pragmatic execution and iterative improvement of the same.
What we are looking for:
- Design and implement enterprise-scale MLOps systems and platforms (including data ingestion, feature pipelines, model training, validation, deployment and monitoring), setting standards for high-performance ML products.
- Productionalize and support scalable and efficient Machine Learning models and solutions.
- Define and enforce standards for model lifecycle management, including versioning, monitoring, alerting, traceability and highly available low-latency inference systems.
- Refine and contribute to advanced data management strategies, optimizing for performance given extensive data loads.
- Mentor teams and provide guidance for machine learning engineering deployment practices, promoting a culture of excellence.
- Navigate complex problem-solving situations, contributing to decisions that affect the broader business's strategic direction.
- Utilize CI/CD best practices to ensure the enterprise keeps with innovative practices and remains efficient, through engagement with ML and MLOps evolution outside of the organization.
- Enable safe deployment strategies like shadow, canaries & gradual rollout
Here's what you need:
- Advanced degree in Computer Science, Engineering, or a related field, or equivalent experience.
- Expertise in high-performance backend technologies, preferably including Golang.
- Extensive experience with cloud and/or on-premises distributed systems, data-intensive applications, and large-scale backend system design.
- Deep knowledge of machine learning operationalization, including current trends, tools, and frameworks.
- Proven problem-solving prowess, capable of pioneering novel solutions to sophisticated technical challenges.
- Experienced in software development, deployment, and continuous improvement of complex CI/CD pipelines.
- A love of technology, or thirst for knowledge, or curiosity about the world, or a desire to solve the hardest problems.
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, Berlin, 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.
#LI-ONSITE
Skills Required
- Advanced degree in Computer Science, Engineering, or related field
- Expertise in high-performance backend technologies, preferably including Golang
- Extensive experience with cloud or on-premises distributed systems and data-intensive applications
- Deep knowledge of machine learning operationalization
- Proven problem-solving skills
- Experienced in software development and CI/CD pipelines
- Curiosity or desire to solve complex problems
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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