Senior Applied Scientist
Core
Drive modeling and data innovations for ad interaction outcome prediction under partial and noisy feedback, building estimated conversion models and robust learning methods for sparse or unobservable user outcomes.
Role type
Senior Applied Scientist (Ad Tech / ML)
Builds
Production-ready systems for ad ranking, bidding, and advertiser ROI
Domain
Online advertising, machine learning, predictive analytics
Deliverable
production ML models (via careerplan.io/jobs/1970393556751830-senior-applied-scientist-at-microsoft)
Required skills
conversion modeling, weak-label generation, multi-task learning, offline/online evaluation, A/B experimentation, noisy data handling, large-scale system design
Preferred skills
conference speaking, independent project leadership
Technologies
N/A
Responsibilities
Design and evaluate multi-task and proxy-signal models; improve offline and online measurement frameworks; translate modeling advances into production systems; build training signals from indirect user behavior.
Seniority
Senior, hands-on IC
