Research Engineer/Scientist (Optimization, AI)

TL;DR

Research Engineer/Scientist (Optimization): Advance decision-making for critical industries by combining machine learning with optimization research with an accent on planning, scheduling, routing, pricing, and inventory. Focus on inventing new optimization-and-ML methods, building high-fidelity simulators and benchmarks, and bridging research into practical prototypes.

New York City; Boston

Company

hirify.global transforms critical institutions like healthcare, manufacturing, and energy with applied AI, partnering with Anthropic, McKinsey, AWS, and General Catalyst.

What you will do

• Set and drive ambitious research programs expanding data-driven decision-making.
• Invent new optimization-and-ML methods for high-impact problems like planning, scheduling, routing, pricing, and inventory.
• Build high-fidelity simulators and rigorous benchmarks mirroring real-world constraints, uncertainty, and multi-objective trade-offs.
• Bridge research into practice by partnering with engineers to prototype and implement solutions.

Requirements

• Degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics (MS/PhD preferred) or equivalent experience.
• 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.
• Proven track record of execution and excellent communication with technical and non-technical stakeholders.

Culture & Benefits

• Dream bigger: Tackle ambitious problems with optimism and responsibility.
• Heart in the game: Care deeply about impactful work without monitoring hours.
• Win for the customer: Deliver outcomes as an engineer-focused culture.
• Make the call: High-agency decisions with high-bandwidth communication.
• Intensity with kindness: Excellence, candor, and urgency balanced with kindness.