Senior Principal Machine Learning Engineer, Ad PlatformsSwiftCruit • Seattle, Washington, United States

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Senior Principal Machine Learning Engineer, Ad Platforms

SwiftCruit

Seattle, Washington, United States

Seattle, Washington, United States

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Über

Senior Principal Machine Learning Engineer, Ad Platforms Technology is at the heart of Disney’s past, present, and future. The Disney Entertainment and ESPN Product & Technology team 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. 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 Senior 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 to create scalable, performant, maintainable, and testable models and pipelines. Daily Responsibilities Excellent communication and collaboration across teams and organizations. Strong understanding of architectural best practices and principles in machine learning and AI domains. Proficiency in designing and implementing robust, scalable, measurable models and pipelines. Passion for mentoring and learning in a dynamic, 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. Keen eye for potential optimizations and enhancements. Kindness and pragmatic optimism. Unique view and experience, full toolkit of influence models, and evidence-based decision making methods. Responsibilities and Expectations Reviewing designs and implementations for best practices. Influencing multi-year technical roadmap. Cross-organizational impact and shaping product/business strategy. Part of the Architecture Guild within Ad Platforms. Reading product requirements documentation, translating into work, and partnering with team leads. Exploring, researching, implementing proofs-of-concept, and proposing solutions that 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. Support 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, and design skills in a highly distributed and highly available services ecosystem. Strong foundations in algorithms, data structures, and numerical optimization. Experience in programming languages such as Python (primary), Java, and SQL. Experience with tools and frameworks such as TensorFlow, PyTorch, Hugging Face libraries. Experience with 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. Compensation The hiring range for this position in Santa Monica, CA is $228,700 - $306,700 per year and in Seattle, WA is $239,700 - $321,400 per year. Base pay will be determined based on internal equity and may vary by geographic region, job-related knowledge, skills, and experience. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to a full range of medical, financial, and other benefits. Location Seattle, WA, USA (Alternate: Santa Monica, CA). Date Posted 2026-05-13
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Seattle, Washington, United States

Sprachkenntnisse

English

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