Lead Machine Learning Engineer advancing AI and machine learning across Disney’s media advertising platform. Innovating solutions for ad inventory forecasting, delivery, and pricing with a collaborative engineering team.
Responsibilities
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.
Requirements
Bachelor's in computer science or equivalent experience
Minimum 5 years of hands-on experience developing and deploying large-scale machine learning systems.
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 tools and frameworks such as TensorFlow, Pytorch, Hugging libraries etc
Proven proficiency in deep learning methodologies, including recurrent and sequence-based models.
Hands-on experience with transformer architectures (e.g., BERT, GPT, ViT) for natural language and vision tasks.
Strong understanding of multimodal embedding techniques for integrating text, image, audio, and structured data.
Experience with LLM models such as GPT models, Claude, Gemini, Llama, etc.
Strong grasp of LLM evaluation methodologies, experience with RAG architectures.
A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.
NICE-TO-HAVES
Experience in digital video advertising or digital marketing domain.
Experience with forecasting models
MS or PhD(preferred) in computer science or equivalent experience.
Benefits
A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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