Lead Machine Learning Engineer, Ads Research in Glendale

Energy Jobline
Glendale, CA, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$171,600.0 - $230,100.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Computer Vision Computer Programming Data Structures Python (Programming Language) Machine Learning Tensorflow SQL Databases Pytorch Large Language Models Deep Learning
+3 more
Information Technology Data Analytics Machine Learning Operations

Requirements

  • Bachelor’s in computer science or equivalent experience. \n

  • 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. \n

  • Experience creating ML datasets (especially in computer vision or generative AI) or developing rigorous quality evaluation processes or data labeling processes. Must include an appreciation for the importance of rigorous quality evaluation processes. \n

  • Experience developing -processing applications via LLMs or agentic flows. \n

  • Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc. \n

  • Minimum 7 years of hands-on experience developing and deploying large-scale machine learning systems. \n

  • Strong knowledge of AI/ML technologies, mathematics and statistics. \n

  • Excellent communication, collaboration skills, and a strong teamwork ethic with both technical and non-technical audiences. \n

  • Strong foundations in algorithms, data structures, and numerical optimization with experience in programming such as Python (primary), Java and SQL \n

  • Familiarity with deep learning tools and frameworks such as TensorFlow, Pytorch, Jax, Hugging libraries etc. \n

  • Expert knowledge with traditional (tabular) ML modeling and methods. \n

  • Proven proficiency in deep learning methodologies, fine tuning, and transformer architectures. \n

  • A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment. \n

  • Experience working closely with UX and front end designers building production generative AI products.

Benefits & conditions

  • Develop, optimize, and productionize innovative technologies in generative AI (mixed media, video, and agentic LLM applications) as well as in traditional ML modeling applications. \n

  • Create, evaluate, improve, optimize technologies \n

  • 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. \n

  • Invent and iterate on novel solutions to complex advertising challenges with rapid prototyping and deployment cycles. \n

  • Design, build, and scale robust ML systems that power core ad platform capabilities \n

  • Champion engineering excellence through best practices in code quality, system design, and operational reliability. \n

  • Mentor and support junior engineers, fostering a culture of continuous learning and technical growth. \n

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About the company

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.

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The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.

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Here are a few reasons why we think you’d love working here:

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  • Building the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. \n

  • Reach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans’ connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. \n

  • Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. \n

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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.

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