Senior Principal Machine Learning Engineer, Ad Platforms

Senior Principal Machine Learning Engineer, Ad Platforms Technology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world‑class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. Ad Platforms is responsible for Disney’s industry‑leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms. Job Summary As our team's Sr Principal Machine Learning Engineer (IC leadership role), you will apply your industry‑tested experience, deep technical knowledge of software and systems including Machine Learning and AI patterns, platforms, and infrastructure, and leadership skills to unblock and guide our ML and Research teams in creating scalable, performant, maintainable, and testable models and pipelines. Daily, you should bring: Excellent communication and collaboration across teams and organizations. Strong and sound understanding of architectural best practices and principles in machine learning and AI domains. Proficiency in designing and implementing robust, scalable, measurable models and pipelines. A passion for mentoring and learning in a very dynamic and fast‑paced environment. Proven ability to collaborate with Product and Sales teams, translating requirements into well‑defined technical implementations. Skilled in defining technical and operational metrics for measuring system health. Knowledge of relevant and upcoming technologies and their potential application within the stack. A keen eye for potential optimizations and enhancements. Kindness and pragmatic optimism. Your unique view and experience. A full toolkit of influence models and clear evidence‑based decision‑making methods. Responsibilities and Expectations Reviewing designs and implementations for best practices. Influencing multi‑year technical roadmap. Cross‑org impact. Shaping product/business strategy. Part of the Architecture Guild within Ad Platforms. Reading requirements documentation from Product, translating into areas of work and partnering with team leads through execution as needed. Exploring, researching, implementing proofs‑of‑concept, and proposing solutions that will reduce cost and overhead, improve maintainability, and minimize time to production. Defining, reviewing, and documenting software and models in a high‑throughput, low‑latency environment. Mentoring and inspiring team members in all aspects of professional software development. Supporting on‑call activities with the MLP and Research teams. Establishing shared technical standards and working practices across globally distributed ML teams. Basic Qualifications BS or MS in Computer Science/Engineering or relevant work experience. 12+ years of software engineering experience. Demonstrable analytical/problem‑solving/design skills in a highly distributed and highly available services ecosystem. Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java, and SQL. Experience with tools and frameworks such as TensorFlow, PyTorch, Hugging Face libraries. Model optimization and inference (TensorRT, ONNX, DeepSpeed). Ad Tech Industry knowledge. Deep expertise in LLMs and OpenAI GPT models, Claude, Gemini, Llama, and similar models. Fine‑tuning (SFT, PEFT, RLHF, adapters), prompt engineering, retrieval‑augmented generation (RAG), context management, and multi‑agent systems and MCPs. Embeddings and vector search. Tokenization. Preferred Qualifications PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field. Hiring range for this position in Santa Monica, CA: $228,700 – $306,700 per year; in Seattle, WA: $239,700 – $321,400 per year. Base pay will be adjusted for internal equity and other factors. Bonuses, long‑term incentives, and a full suite of benefits may be included. Job Posting Segment: Ad PlatformsJob Posting Primary Business: AP – EngineeringPrimary Job Posting Category: Machine LearningEmployment Type: Full timePrimary City, State, Region, Postal Code: Seattle, WA, USAAlternate City, State, Region, Postal Code: USA – CA – 2450 BroadwayDate Posted: 2026-05-13 Learn more about us. #J-18808-Ljbffr