Research Scientist – Optimization

The role

You will combine modern machine learning with rigorous optimization research to close the loop from prediction to decision. You will set research programs, invent new optimization methods, and build high-fidelity simulators to drive data-driven decision-making.

What you will do

• Set and drive ambitious research programs to expand data-driven decision-making
• Invent new optimization methods for planning, scheduling, routing, pricing, and inventory
• Build high-fidelity simulators and rigorous, replayable benchmarks
• Push optimizers from benchmark wins into production systems
• Partner with engineers to rapidly prototype and implement research ideas

Required qualifications

• PhD in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics or equivalent research/industry experience
• Depth in operations or mathematical optimization (LP/MIP/MINLP, CP, stochastic/robust optimization)
• Experience in novel machine learning techniques for Operations Research, including test-time search and reinforcement learning for sequential decision-making
• Comfort implementing fast real-time optimization systems
• Comfort debugging large-scale optimization systems
• Comfort designing benchmarks with real, defensible ground truth
• Proven track record of execution
• Excellent communicator with both technical and non-technical stakeholders

Nice to have

• Motivated by impact in critical industries including healthcare, supply chains, energy, and finance

Benefits

• Competitive compensation
• Equity
• 401(k) matching
• Comprehensive health and family benefits
• Lunch every day

About the company

Percepta is a direct partnership with General Catalyst, a global transformation and investment company. The mission is to transform critical institutions with applied AI.