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.

You’re a great fit if you : 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.

What You’ll Do 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.

Why This Role Is Exciting 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.