Applied Scientist III
Core
Design and implement mathematically rigorous algorithms for real-time auctions, dynamic pricing, and traffic allocation in a massive-scale ad marketplace.
Role type
Senior IC applied scientist (algorithmic research & production)
Builds
Real-time bidding systems, dynamic pricing engines, and traffic allocation mechanisms for a global ad exchange
Domain
Ad technology, online marketplaces, algorithmic game theory
Deliverable
production ML models
Required skills
Statistical learning theory, mathematical optimization, online learning, reinforcement learning, game theory, auction theory, causal inference, Bayesian methods, scientific computing with Python, distributed computing
Preferred skills
Deep learning, multi-armed bandits, forecasting, strong publication record in top-tier ML conferences, experience in ad tech or dynamic pricing
Technologies
Python, NumPy, SciPy, PyTorch, TensorFlow, Apache Spark
Responsibilities
Formulate and implement algorithms for real-time auctions and dynamic pricing; design experiments in online learning and reinforcement learning; collaborate with engineering to deploy models in production; evaluate long-term dynamics of deployed algorithms; translate business challenges into novel research methodologies
Seniority
Senior, hands-on IC
