Lead Machine Learning Engineer, Ad Platforms
The Walt Disney Company
full-time
Posted on:
Location Type: Hybrid
Location: Santa Monica • California, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $171,600 - $230,100 per year
Job Level
Senior
Tech Stack
JavaPythonPyTorchSQLTensorflow
About the role
- 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
- 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.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningAI technologiesmathematicsstatisticsalgorithmsdata structuresnumerical optimizationdeep learningtransformer architecturesmultimodal embedding techniques
Soft skills
communicationcollaborationteamworkmentoringcontinuous learningtechnical growth