Research Engineer / Scientist – Optimization

Responsibilities

• Set and drive ambitious research programs that expand what’s achievable in data-driven decision-making.
• Invent new optimization-and-ML methods for high-impact problems such as planning, scheduling, routing, pricing, and inventory.
• Build high-fidelity simulators and rigorous benchmarks that mirror real-world constraints, uncertainty, and multi-objective trade-offs.
• Bridge research into practice by partnering with our engineers to rapidly prototype solutions and implement successful research ideas.

Requirements

• Hold a degree in Computer Science, Operations Research, Industrial Engineering, or Applied Mathematics (MS/PhD preferred) or have equivalent research/industry experience.
• Have depth in operations or mathematical optimization (LP/MIP/MINLP, CP, stochastic/robust optimization, causal inference).
• Have experience in novel machine learning techniques for Operations Research.
• Be comfortable implementing and debugging large-scale optimization systems.
• Be motivated by impact in critical industries including healthcare, supply chains, energy, and finance.
• Have a proven track record of execution.
• Be an excellent communicator with both technical and non-technical stakeholders.
• Enjoy extreme ownership.
• Be passionate about AI’s transformative potential.

Qualifications

• Experience 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.
• Motivated by impact in critical industries including healthcare, supply chains, energy, and finance.
• A proven track record of execution.
• An excellent communicator with both technical and non-technical stakeholders.
• Extreme ownership.
• Passionate about AI’s transformative potential.

Skills

• Strong background in operations research and machine learning.
• Experience in developing and applying optimization models.
• Proficiency in programming languages relevant to AI and operations research.
• Ability to work effectively in a multidisciplinary team environment.
• Excellent problem-solving and analytical skills.

Benefits

• Flexible work schedule.
• Competitive compensation package.
• Opportunities for professional growth and development.
• Collaborative and supportive work culture.
• Access to cutting-edge technologies and tools.

Pay

Salary range: $120,000 - $180,000 annually, commensurate with experience.

Schedule

Full-time position.