Architect designing enterprise - grade AI/ML architectures for Quantiphi. Leading AI applications and ML strategy with a focus on scalability, security, and integration.
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Hybrid Lead Machine Learning Engineer, Ad Platforms
Posted yesterday
About the role
- Lead Machine Learning Engineer at Disney Ad Platforms driving AI innovation and machine learning solutions for advertising. Innovating ad technology while mentoring junior engineers in a collaborative environment.
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
- Bachelors degree in Computer science or related field of study
- Minimum 7 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
- Full range of medical, financial, and/or other benefits
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