Senior Machine Learning Engineer

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: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’re 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 
• 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 – learn more here 

Equal employment opportunity