Matching & Optimization Engineer

About the Role

Build algorithms that turn predicted intent into optimal outcomes -- matching people to tables, opportunities to sponsors. Combinatorial optimization under real-time constraints.

Responsibilities

• Design and implement algorithms for large-scale matching and assignment problems
• Build real-time optimization systems operating under complex constraints
• Develop scheduling and allocation models that maximize efficiency and outcomes
• Translate ambiguous business problems into rigorous mathematical formulations
• Optimize solver performance for speed, scalability, and reliability
• Partner with product, data, and engineering teams to productionize decision systems
• Continuously evaluate and improve models using simulation and real-world data

Qualifications

• Strong background in algorithms, optimization, or operations research
• Experience building matching, assignment, routing, or scheduling systems
• Familiarity with tools such as OR-Tools, Gurobi, CPLEX, or similar solvers
• Solid programming skills with experience deploying production systems
• Ability to balance theoretical rigor with practical engineering tradeoffs
• Comfortable tackling ambiguous, high-impact problems

Benefits

• Competitive salary range ($120K–$300K)
• Remote-friendly role
• Work on high-impact decision systems central to the product
• Opportunity to solve complex, real-world optimization problems at scale
• Visa sponsorship available