We shaped the earliest forms of ad tech, and we're looking for the technical expertise to help shape its future. Our customers have unique problems that can only be solved at internet scale, and that's where the technical skills of our team make a real difference.
Our exchange handles over 350 billion requests every day (for comparison Google serves an estimated 9 billion searches a day), all running in our own global data centers.
Every member of our technology team has an enormous amount of autonomy in building and managing our systems to support and enable our growing level of scale.
Through the transparency of our technology, dedication to innovation and integrity, and long-standing customer relationships, we lead through change.
What's it like to work at Index?
We have more than 550 Indexers around the globe dedicated to building a safe and transparent marketplace that provides a trusted experience for consumers.
Index is an exciting and fast-paced place to work. We're built on our values of change, support, learning and teaching, trust, and intention.
We pride ourselves on our independence and openness, not only in our technology, but in our teams, too. Our diverse and inclusive culture celebrates how we can leverage our unique differences to help drive Index forward.
Our culture of success is truly supportive and collaborative. In working together across our teams, we're continually investing in the people and technology to solve the industry's most complex problems.
As we extend the promise of ad tech to every channel, we're looking for talented engineers to help advance Index, and the industry, forward.
Are you ready to join the programmatic evolution?
Index Exchange funds the open web. Content and journalism across the internet are funded through advertising, and we are the engine that helps to make that happen transparently, safely and efficiently.
Handling hundreds of billions of auctions per day within milliseconds requires an intense understanding of the exchange and the ecosystem that we live in.
Our business is growing significantly every year and is poised to grow even faster. Our people and our platforms are the foundation and enabler of that growth.
We are significantly expanding our technology teams, and are looking for technologists with a passion for high performance software development, and a drive to deliver software products and platforms that enable and empower industries at a global scale.
About The Role :
We're looking for a Senior Machine Learning & Optimization 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.
Index's scale spans the globe, our transactions happen 24x7 in our global data centers, and every second that passes millions of requests are evaluated across our exchange.
In order to achieve our mission, global efficiency and reliability are absolutely key, as every millisecond quite literally counts in our business.
What We are Looking For :
- Design and implement enterprise-scale MLOps systems and platforms, setting standards for high-performance ML products.
- Productionalize and support scalable and efficient Machine Learning models and solutions.
- 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.
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. &l
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