Design, develop, and maintain advanced optimization models (e.g., mixed integer programming).
Design and develop other platform capabilities.
Experiment and prototype for foundational tech stacks comparison and selection.
Implement, deploy, and rollout features following safe rollout practices.
Interact with users, partner teams for feature scoping, rollout support, and training.
Minimum qualifications:
PhD degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
Experience applying mathematical techniques to solve large-scale, intractable problems.
Experience conducting advanced research in Computer Science, Applied Mathematics, or relevant experience.
Preferred qualifications:
PhD in Statistics, Applied Mathematics, Operation Research, or a related field.
Experience with mathematical optimization (e.g., LP, IP, MIP, NLP).
Understanding of private and public cloud design considerations and limitations in the areas of virtualization and global infrastructure, distributed systems, load balancing and networking.
