Machine Learning Engineer supporting the Enterprise Machine Learning team in developing advanced solutions. Collaborating with stakeholders and driving data science initiatives in a hybrid work environment.
TC
Hybrid Principal Machine Learning Engineer – Ad Platforms
Posted 5 months ago
About the role
- Principal Machine Learning Engineer developing AI and machine learning applications for Disney's ad platforms. Leading innovation and scalable solutions for advertising technology.
Responsibilities
- Drive design and implementation of LLM and GenAI related applications
- Provide Prompt Engineering support to different functional team
- Drive ground-breaking innovation and apply state of the art AI and machine learning in a variety of areas to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery
- Invent and iterate novel solutions for complex ad challenges with fast turnaround
- Lead the ad algorithm architecture design and iteration of the advertising system
- Develop and implement scalable and efficient approaches for large scale data analysis and model development
- Build and experiment new algorithms and models end-to-end, from production rollout to continuous optimization
- Collaborate with engineering teams, product managers, and program managers in an open and creative environment
- Mentor team members and support their technical growth
Requirements
- Bachelor's degree in computer science or equivalent experience
- At least 10 years of working experience on large scale machine learning at leading internet companies
- Experience in the advertising domain is preferred
- Experience with forecasting algorithm is preferred
- Strong knowledge of AI/ML technologies, mathematics and statistics
- Ability to collaborate with and lead projects across cross-functional teams such as Product Management, Architecture, and other Engineering teams
- Passionate about understanding the ad business, applying advanced research to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness
- Passionate about technology, open to interdisciplinary collaborations, and experienced in building data-driven services and applications
- A proven track record of thriving in a fast-paced, data-driven, and collaborative work environment is required.
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, dependent on the level and position offered.
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