Staff Machine Learning Engineer - Exchange Platform




Index Exchange is a global advertising technology company helping media owners monetize their digital content through advertising so that consumers can continue enjoying free and open access to content online.    

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 be solved at scale, and that’s where the technical skills of our team make a real difference. Our exchange handles more than 220 billion requests every day (which is even more than the New York Stock Exchange), and every member of our engineering team has an enormous amount of autonomy in building code that supports that level of scale. Through the transparency of our technology, dedication to innovation, and long-standing customer relationships, we lead through change. 

We have more than 500 Indexers around the globe dedicated to building a safe and transparent marketplace that provides a trusted experience for consumers.

What’s it like to work at Index?

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?

This is a ripe opportunity for a Staff Machine Learning Engineer to help a successful ad tech company leverage ML to cope with and optimize handling its unbelievably high scale (billions of records per day).

We have an impressive and successful first ML project live, and are well on our way to our second. We are still in ML infancy, and the opportunities are huge and untapped with our growing data and transaction volume. We are looking for a candidate with a track record of MLOps accomplishments to help us tackle questions around how we scale our machine learning infrastructure and increase efficacy! 

What You’ll be Doing:

  • Design, development 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 
  • Design efficient data collection and ETL processes
  • 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

What You Need:

  • Extensive Machine Learning knowledge
  • Knowledge of production infrastructure and pipelines for Machine Learning models (MLOps) 
  • Experience with one or more of the following: Classification, 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
  • Experience working with an advanced engineering team 
  • Knowledge of best practices for software engineering
  • Interests in performance optimizations
  • Deep knowledge of math, probability, statistics, and algorithms
  • Experience with participating in the machine learning competitions such as Kaggle
  • Published articles or papers
  • Experience in ad tech (i.e. in-depth knowledge of digital programmatic advertising data) 

Why You’ll Love Working Here:

  • Comprehensive health, dental, and vision plans at no cost to you
  • Time off and flexible work schedules
  • Retirement plan with a 5% company match
  • Stock options and equity packages
  • Generous parental leave
  • Monthly wellness stipend plus fitness discounts and quarterly wellness group activities
  • Home office stipend
  • Community engagement opportunities and donation-matching program
  • Annual virtual company retreats and regular community-led team events

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 is committed to working with and providing access and reasonable accommodations to applicants with disabilities. Please let us know if you’d like to request a reasonable accommodation.

*COVID-19 guidance: We have re-opened offices in various cities following local guidelines, but are continuing to maintain a flexible work environment.