Research Scientist, Optimization

Job Summary

Contributing to advanced algorithms for large-scale optimization in communication networks, the full-time Research Scientist, Optimization will work remotely to develop scalable optimization algorithms, apply machine learning techniques, and collaborate with engineers to integrate research into practical applications.

Key Responsibilities

• Specify, research, design, and develop scalable optimization algorithms for complex resource allocation problems
• Apply techniques from machine learning and optimization to enhance solution quality and computational efficiency
• Collaborate with researchers and engineers to translate research into commercial product capabilities

Required Qualifications

• A PhD and/or 3+ years of equivalent research experience in computer science, engineering, mathematics, statistics, or a related field
• Strong skills in Python and experience working in Linux environments
• A track record of publishing in leading venues such as NeurIPS, ICLR/ICML, or INFOCOM/IEEE
• Experience with reinforcement learning, integer optimization, or metaheuristic algorithms
• Demonstrated ability to work proactively in a self-motivated manner