Optimization Specialist

Hiring an Optimization Specialist to design and implement optimization models and heuristics that solve large-scale real-world scheduling, routing, and allocation problems, and deliver them as reproducible, production-grade pipelines for AI-driven systems.

• Have a background in operations research, applied mathematics, computer science, or engineering.
• Are proficient in Python and optimization libraries such as CVXPY, OR-Tools, CPLEX, SciPy, NumPy, and pandas.
• Understand mathematical programming methods (MILP, CP, heuristics) and their tradeoffs.
• Have experience designing models for scheduling, routing, or allocation at scale.
• Are comfortable building reproducible pipelines and benchmarking optimization approaches.
• Care about delivering models that balance optimality, scalability, and real-world performance.
• Are curious about how optimization connects with AI systems and large-scale decision engines.

• Build scalable optimization pipelines for scheduling, routing, and resource allocation.
• Translate AI lab and product requirements into robust optimization formulations (MILP/CP, heuristics).
• Benchmark, validate, and stress-test optimization models with real-world datasets.
• Develop heuristics and approximation methods for time-sensitive and large-scale workloads.
• Collaborate with AI researchers and engineers to integrate optimization into production systems.
• Document models, experiments, and workflows for reproducibility and reliability.

• You’ll pioneer optimization pipelines that power AI systems in production.
• You’ll apply cutting-edge mathematical programming techniques to high-impact, real-world problems.
• You’ll collaborate on a high-impact effort at the intersection of optimization, AI, and large-scale engineering.
• You’ll help shape how advanced optimization drives the next wave of AI research and applications.