This role focuses on building and deploying internal AI solutions using LLMs, RAG, and agentic systems within an enterprise context. The engineer will be an end-to-end owner, collaborating with stakeholders to identify opportunities and deliver tools that improve productivity and streamline workflows. Key responsibilities include designing and deploying agentic systems, contributing to RAG applications, building and deploying agents using platforms like Microsoft Copilot and Anthropic Claude, and iterating on conversational agents. The role also involves driving quality through testing and evaluation, and mentoring teammates.

Senior AI Enablement Engineer role focused on building and deploying internal AI solutions, including agentic systems and RAG applications, using LLMs and enterprise platforms like Microsoft Copilot and Anthropic Claude. The role involves end-to-end ownership, stakeholder collaboration, and guiding teams through their AI journey to improve productivity and streamline workflows within enterprise guardrails.

This role focuses on designing and deploying intelligent agentic systems and RAG applications that integrate LLMs with enterprise data, tools, and workflows. The Sr AI Solutions Architect will build and deploy agents using platforms like Microsoft Copilot and Anthropic Claude, contribute to RAG applications, and drive AI enablement across the company, aiming to improve productivity and streamline workflows.

Product Manager role focused on improving the developer experience by defining and implementing AI strategy and tools for engineers. This includes understanding developer needs, industry trends, and building AI solutions to enhance efficiency and innovation within the software development lifecycle.

The Trade Desk is seeking a Data Scientist to develop algorithms for Audience Targeting using deep learning at scale. This role involves end-to-end ownership from ideation to productionalization and monitoring, focusing on training and inference in always-on production systems.

Staff Applied Scientist role focused on building and scaling AI/ML systems for digital advertising, including control systems, recommendation engines, and time series models. Requires strong ML, statistics, and experimental design skills, with experience in end-to-end project ownership from research to production.

Applied Scientist II role focused on end-to-end ownership of identity products within a large-scale digital advertising platform. The role involves designing, researching, building, and delivering data-focused products using massive datasets and cutting-edge data processing frameworks and scalable algorithms. It also includes acting as a business partner ambassador for identity products.

Applied Scientist II role at The Trade Desk, focusing on developing and improving machine learning models for digital advertising. The role involves transforming large datasets into actionable intelligence, contributing to client-facing products, and working closely with product, trading, and engineering teams. Emphasis on shipping product and deriving insights from massive datasets.

Software Engineer II on the Performance Automation team, focused on developing optimization tools for advertising campaigns. This role involves enhancing machine learning model development, creating tools for data scientists' model iteration, experimenting with training architectures, and integrating models into low-latency bidding infrastructure. It also includes developing debugging and analytical tools for real-time system monitoring and adjustment.

Senior Data Scientist role focused on designing, building, and scaling data-driven solutions for forecasting, pacing, and recommendation systems in emerging channels. The role involves developing advanced ML/DL models, optimizing algorithms, and collaborating with engineering and product teams for end-to-end ownership from research to production.

Staff Applied Scientist role focused on building and productionizing statistical and machine learning models for fraud detection, invalid traffic, and inventory quality in the digital advertising marketplace. The role involves technical ownership of the data science roadmap, designing and deploying models, defining metrics, and developing analytical frameworks. It also requires cross-functional collaboration with engineering and product teams, and leadership/mentorship of other data scientists. The position emphasizes end-to-end project ownership in adversarial, large-scale environments.

Senior AI Engineer role focused on designing, developing, and deploying internal AI solutions using LLMs, RAG, and agentic systems to improve productivity and streamline workflows within The Trade Desk. The role involves end-to-end ownership, collaboration with stakeholders, and AI enablement across the company.