AI Optimization Research Engineer

Percepta; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Percepta is seeking a Research Engineer/Scientist in New York to advance AI research and real-world impact. The successful candidate will set ambitious research programs, invent optimization methods for high-impact problems, and collaborate with engineers to bridge research into practice. A degree in Computer Science or related fields is preferred, along with experience in optimization techniques and machine learning. The organization emphasizes ownership, effective communication, and making impactful decisions for critical industries.

Qualifications

• Depth in operations or mathematical optimization (LP/MIP/MINLP, CP, stochastic/robust optimization, causal inference).
• Experience in novel machine learning techniques for Operations Research.
• Comfortable implementing and debugging large-scale optimization systems.

Responsibilities

• Set and drive ambitious research programs expanding data-driven decision-making.
• Invent new optimization-and-ML methods for planning, scheduling, routing, pricing, and inventory.
• Build high-fidelity simulators and rigorous benchmarks mirroring real-world constraints.

Skills

Mathematical optimization

Machine learning

Communication

Problem-solving

Education

Degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics (MS/PhD preferred)

Job description

Percepta is seeking a Research Engineer/Scientist in New York to advance AI research and real-world impact. The successful candidate will set ambitious research programs, invent optimization methods for high-impact problems, and collaborate with engineers to bridge research into practice. A degree in Computer Science or related fields is preferred, along with experience in optimization techniques and machine learning. The organization emphasizes ownership, effective communication, and making impactful decisions for critical industries.