Senior Applied Scientist
Microsoft (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 45–70 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.