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Tier-1 brand, metro Bangalore, and senior title increase competition; niche ML/research focus reduces applicant pool.
Deep ML/AI research skills and advertising auction domain expertise make cross-industry transfers difficult.
Explicit 8+ years, mandatory ML/RL/causal skills, production model experience, and technical stack make filters strict.
Lead the development and deployment of advanced AI/ML models (Deep Learning, Reinforcement Learning, Causal Inference) to improve ad selection, ranking, and advertiser outcomes in Microsoft Ads.
Optimize large-scale AI models for robustness, scalability, and real-world performance impacting user engagement and advertiser ROI.
Conduct large-scale experiments and collaborate globally to integrate solutions into Microsoft Ads systems for end-to-end impact.
Bachelor's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field with 8+ years experience OR Master's degree with 6+ years OR PhD with 4+ years in relevant fields.
Experience building, deploying, and optimizing large-scale AI/ML models in production environments.
Proficiency in PyTorch or TensorFlow and programming languages like Python, C#, or Java.
Technical expertise in Deep Learning, Reinforcement Learning, and Causal Inference.
Strong background in large-scale machine learning model development specifically for online advertising or similar domains like search engines or recommendation systems.
Demonstrated ability to work on scalable engineering solutions that directly impact advertiser success and user experience in complex production systems.
Experience publishing in top-tier AI/ML conferences or equivalent industry recognition indicating thought leadership in the field.