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Senior Machine Learning Engineer, Ad PlatformsDormont Manufacturing Co • Seattle, Washington, United States
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Senior Machine Learning Engineer, Ad Platforms

Dormont Manufacturing Co
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Jetzt Bewerben

Über

Senior 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.
This position will work across multiple machine learning areas with primary focus on generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies. Areas of work may include generative video, generative image, generative audio, chatbots, LLM applications, and mixed agentic workflows. Work will additionally include traditional machine learning applications such as development of classical ML models to optimize advertisement marketplace operations.
Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high‑impact AI/ML and data science solutions that enhance generative advertisement creation and enhancement, as well as supporting efforts in more traditional AI application spaces such as ad marketplace optimization, forecasting, and related ML and generative AI experimentation.
What You’ll Do
Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications.
Create, evaluate, and improve technologies.
Drive innovation and apply state‑of‑the‑art AI and machine learning across advertising domains, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery.
Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles.
Design, build, and scale robust ML systems that power core ad platform capabilities.
Champion engineering excellence through best practices in code quality, system design, and operational reliability.
Mentor and support junior engineers, fostering a culture of continuous learning and technical growth.
What To Bring
Bachelor’s in computer science or equivalent experience.
Minimum 5 years of hands‑on experience developing and deploying large‑scale machine learning systems.
Prior experience rigorously developing, researching, and/ or productionizing any of the following generative AI modeling or AI‑based editing domains: image, video, mixed media, audio, LLMs, or agentic flows.
Very strong interest to self‑teach via publications and training resources in generative modeling including in generative video and diffusion modeling.
Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes.
Experience developing language‑processing applications via LLMs or agentic flows, or a strong interest to learn.
Experience in rapid creative prototyping with generative AI.
Strong knowledge of AI/ML technologies, mathematics and statistics.
Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non‑technical audiences.
Strong foundations in algorithms, data structures, and numerical optimization with experience in programming languages such as Python (primary), Java, and SQL.
Familiarity with deep learning tools and frameworks such as TensorFlow, PyTorch, JAX, Hugging Face libraries, etc.
Strong familiarity and experience with traditional ML modeling and methods.
Proven proficiency in deep learning methodologies and transformer architectures.
A proven track record of thriving in a fast‑paced, data‑driven, and collaborative work environment is required.
NICE-TO-HAVES
MS or PhD (preferred) in computer science or equivalent experience.
Experience working closely with UX and front‑end designers building production generative AI products.
Experience with multimodal models and embedding techniques.
Experience in digital video advertising or digital marketing domain.
Location Seattle / Santa Monica / Glendale
#J-18808-Ljbffr
  • Seattle, Washington, United States

Sprachkenntnisse

  • English
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