Senior Software Engineer - ML OPS Tooling

The Trade Desk, Inc. • New York, NY • 1w ago

The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day.Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally- connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small- to medium-sized workplaces globally.What We Do:The ML Ops team at The Trade Desk is dedicated to empowering our data scientists and data engineers by building the infrastructure and tools they need to innovate with AI and seamlessly transition machine learning models from research to production. Our mission is to accelerate this journey while upholding the highest standards of safety, scalability, and quality.We're developing a robust platform that provides standardized tools and frameworks across the entire machine learning lifecycle, including:Enabling cross-team feature sharingSimplifying model deployment, monitoring, and experimentationReducing friction in building and productionizing models end-to-endOur goal is to give teams the autonomy to take their models from idea to impact-faster and more reliably than ever before.About the Role:Senior Software Engineers on the ML Ops team at The Trade Desk are end-to-end ownersYou'll play a critical role in designing, building, and delivering the infrastructure and tools that empower data scientists and machine learning engineers to take models from research to production-safely, quickly, and at scale.Our ML Ops team tackles a wide range of challenges, including:Building scalable systems to support feature engineering, model training, and inferenceCreating standardized frameworks for model deployment, monitoring, and versioningDeveloping internal platforms that reduce friction and increase velocity for ML teamsEnsuring high reliability and performance across both cloud and physical data centersThe unique part of the role depending on your interests and expertise, you might lead initiatives involving container orchestration, CI/CD for ML workflows, model serving, data processing, observability tooling for models in production, or cross-team data pipelines for shared feature stores. But your impact won't stop at code.As a senior engineer, you'll also shape our team through mentorship, cross-functional collaboration, and technical leadership. You'll raise the bar not only for infrastructure and systems-but also for the people around you.Who We Are Looking For:A strong collaborator. You're a clear communicator who partners effectively with data scientists and engineers to identify and eliminate friction in the ML workflow.Efficiency-minded. You're passionate about building tools and systems that empower others-improving the productivity of data scientists and data engineers across the organization.Technically versatile. You have experience working with large-scale data systems-hands-on experience with Spark or distributed data pipelines is a plus.ML-aware. While you don't need to be a model builder, familiarity with ML modeling and deployment concepts is a bonus.

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