Staff/Senior Applied Scientist, AI/GenAI & ML Systems

Staff / Senior Applied Scientist — AI/GenAI & ML Systems (Operational Research)

Overview

We are hiring a Staff or Senior Applied Scientist to build and deploy advanced AI/GenAI and ML systems grounded in applied mathematics and Operational Research (OR). This role is ideal for someone who can take ambiguous, high-impact operational problems, turn them into clear mathematical/algorithmic formulations, and lead implementation end-to-end—including writing production-quality code.

You’ll work at the intersection of optimization, inference science, NLP, and reinforcement learning, with a strong emphasis on practical delivery and measurable business outcomes. Supply chain optimization experience is a plus.

Key Responsibilities

• Problem formulation: Translate business challenges into mathematical and computational models.

• Applied research: Evaluate and adapt existing approaches (OR models, AI/ML, GenAI/LLM methods).

• Algorithm development: Design and implement new algorithms when existing solutions fall short.

• Hands-on execution: Build prototypes, run experiments, and lead production implementation (you code).

• Technical leadership: Drive solution architecture, performance evaluation, and operational readiness.

• Collaboration: Partner with product, engineering, and domain teams to deliver scalable solutions.

Required Expertise

• Strong applied mathematics background with depth in Operational Research, including one or more of:

  • Linear / Mixed-Integer Optimization (LP/MIP)

  • Constraint Programming

  • Network / Graph Optimization

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