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.
Applicant Tracking System Keywords
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