Senior Machine Learning Engineer

Company Overview

Index Exchange is revolutionizing digital advertising at scale. As a global supply-side platform, we enable top media owners and marketers to prosper within a programmatic, privacy-focused landscape. With over two decades of pioneering ad technology, our proprietary platform supports some of the largest global brands and media owners, playing a key role in maintaining an open and accessible internet.

Our infrastructure handles over 550 billion real-time auctions daily with ultra-low latency, surpassing even major search engines in volume. Our vertically integrated system, spanning servers to networks, operates primarily on dedicated hardware and cloud infrastructure, designed for both robustness and adaptability amidst a rapidly evolving market.

Engineering drives our culture, tackling internet-scale challenges with global, close-knit teams. Our engineers handle massive data flows, apply AI-driven optimization, and make real-time infrastructure decisions, shaping the future of advertising through rapid yet thoughtful innovation grounded in core values.

Role Summary

We seek a Senior Machine Learning Engineer with extensive applied data science and optimization expertise at scale. This role will lead our enterprise-wide machine learning strategy, focusing on practical execution and continuous enhancement.

Key Responsibilities

• Architect and build enterprise-grade MLOps platforms covering data ingestion, feature pipelines, model training, validation, deployment, and monitoring, establishing benchmarks for high-performance ML products.
• Deploy and maintain scalable, efficient machine learning models and solutions in production environments.
• Establish and uphold standards for full model lifecycle management including version control, monitoring, alerting, traceability, and ensuring low-latency, highly available inference systems.
• Enhance advanced data management techniques to optimize performance for extensive data volumes.
• Provide mentorship and guidance to teams on machine learning engineering best practices and deployment methodologies, fostering a culture of excellence.
• Address complex technical challenges and contribute strategically to organizational direction.
• Apply CI/CD standards and engage with evolving ML and MLOps innovations to keep the enterprise efficient and forward-looking.
• Implement safe deployment methods such as shadow testing, canary releases, and gradual rollouts.

Qualifications

• Advanced degree in Computer Science, Engineering, or a related discipline, or comparable professional experience.
• Proficiency in high-performance backend development technologies, with a preference for Golang.
• Significant experience in cloud-based and/or on-prem distributed systems, handling data-intensive applications and designing large-scale backend systems.
• Extensive knowledge in operationalizing machine learning, including familiarity with current tools, frameworks, and trends.
• Strong problem-solving abilities, capable of devising innovative solutions for advanced technical issues.
• Solid experience in software development, deployment, and continuous integration and delivery pipelines.
• Passion for technology, learning, curiosity, and solving challenging problems.

Benefits

• Comprehensive health, dental, and vision insurance for employees and their dependents.
• Flexible working hours, paid time off, health days, and personal obligation days.
• Competitive retirement matching programs.
• Equity participation packages.
• Generous parental leave for all types of parents.
• Annual wellness allowances, fitness discounts, and group wellness activities.
• Commuter benefits and discount programs when available.
• Employee assistance programs and mental health first aid support.
• Volunteering time off and donation matching initiatives.
• Regular company town halls and community team events.
• Resources and programs supporting continuous professional development.
• A workplace dedicated to diversity, equity, and inclusion for all employees.

Diversity and Accessibility

We are committed to equal employment opportunities, embracing diversity across all dimensions including race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, and veteran status.

Index Exchange welcomes applications from individuals with disabilities and commits to providing reasonable accommodations throughout the hiring process upon request.

Global Presence

Our headquarters are in Toronto with major offices worldwide including New York, Montreal, Kitchener, London, Berlin, San Francisco, and more. We operate as a unified global team supporting talent wherever they are located.