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The Trade Desk in Boulder, CO, is seeking an experienced software engineer to enhance our Performance Automation team's capabilities in developing tools that improve advertising campaign outcomes.
The ideal candidate will have over 7 years of experience in software development, proficiency with machine learning frameworks, and a strong understanding of Agile practices. This position operates under a hybrid work model with a competitive salary and benefits.
The Performance Automation team is dedicated to developing optimization tools that enhance our clients' advertising campaign outcomes, ensuring they meet or surpass their Key Performance Indicators (KPIs).
Design, build, and maintain machine learning pipelines and tools that enable rapid iteration and refinement of models by data scientists. Create and optimize ETL processes that handle petabytes of data and experiment with novel model training architectures. Integrate machine learning models into our bidding infrastructure, where low latency and high performance are critical, ensuring our code runs millions of times per second across global datacenters.
Develop and improve debugging and analytical tools for monitoring and adjusting the bidding system in real time, enabling quick identification and resolution of performance issues to improve campaign efficiency and effective budget usage.
Contribute to all aspects of product development, from system design and architecture to implementation and delivery, for our clients. Participate in large‑scale distributed system projects coordinating thousands of servers across cloud and physical data centers, petabyte‑scale data challenges, machine learning, advanced visualizations, and interactive user interfaces.
The position will be located in Boulder, CO, and requires engineers to work under a hybrid office attendance model.
Base salary range: $137,600 – $206,400 USD. Additional variable compensation, stock‑based incentives, and benefits are also available.
The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.