Overview
Drive AI innovation: Lead the development of cutting-edge models that select and rank ads, predict user interaction given a specific context, model clicks for each campaign, and optimize advertiser outcomes. You will leverage advance Deep Learning, Reinforcement Learning, Causal Inference, and other techniques to solve complex problems. Optimize at scale: Design, build, and deploy models that operate at web scale, ensuring they are robust, scalable, and high performing in real-world settings. You will directly improve user engagement, ad relevance, and advertiser return on. Perform large-scale online and offline experiments to continuously optimize and validate model performance, ensuring real-time impact on user and advertiser experiences. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience
Full job description
Full Job Description
Drive AI innovation: Lead the development of cutting-edge models that select and rank ads, predict user interaction given a specific context, model clicks for each campaign, and optimize advertiser outcomes. You will leverage advance Deep Learning, Reinforcement Learning, Causal Inference, and other techniques to solve complex problems. Optimize at scale: Design, build, and deploy models that operate at web scale, ensuring they are robust, scalable, and high performing in real-world settings. You will directly improve user engagement, ad relevance, and advertiser return on. Perform large-scale online and offline experiments to continuously optimize and validate model performance, ensuring real-time impact on user and advertiser experiences. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics predictive analytics, research). OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research). OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ year(s) related experience (e.g., statistics, predictive analytics, research). OR equivalent experience. Experience with large-scale models and frameworks such as PyTorch/Tensor flow. Python, C#, Java or other OOPs programing language. Technical expertise and working experience on Deep Learning, Reinforcement Learning, Causal Inference. Experience building, deploying, and optimizing large-scale AI/ML models in real-world applications. Publications in top-tier conferences like NeurIPS, ICML, CVPR, SIGIR, KDD, ACL, EMNLP, ICLR, WWW, WSDM or similar, demonstrating expertise in advancing the field - would be preferred. Masters / PhD in Machine Learning, AI, or related fields. Background in developing or modifying deep learning algorithms/architectures to improve computational and memory efficiency. Experience in online advertising, search engines, or recommendation systems.
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