Optimization Performance Specialist

Fastbreak AI•Charlotte, NC

1d•Onsite

About The Position

We are looking for an Optimization Performance Specialist to lead the design, execution and analysis of performance benchmarks across our AI and ML optimization approaches for our sports scheduling platform. Fastbreak AI is the world leader in sports league scheduling. Our customers include the NBA, NHL, MLS, La Liga, and more than 60 top leagues, each facing some of the most complex scheduling challenges in sports. We are an innovative, collaborative team looking for extraordinary people who enjoy solving big challenges. This position offers the opportunity to partner directly with the world’s largest sports leagues on real, high-stakes scheduling challenges, owning the benchmark “truth set” that steers our optimization roadmap. You'll work with a collaborative, intellectually rigorous and passionate team where the best idea wins, and your impact will be visible on screens and scoreboards everywhere.

Requirements

MS or PhD in Operations Research, Computer Science, Applied Mathematics, or related field.
3+ years of experience in software engineering, data analysis and/or managing computational workloads.
Proficiency in Python, scripting, and other programming languages to run experiments, harvest results and extract results & insights.
Strong background in algorithmic performance measurement and statistical analysis.
Familiarity with running workloads on distributed resources (AWS, Azure, etc).
Experience with git, general software engineering practices.

Nice To Haves

Experience with discrete optimization and benchmarking efforts such as MIPLIB.
Contributions to open-source optimization libraries or benchmark suites.

Responsibilities

Apply computer science and math skills to determine the best algorithmic approaches for different scheduling problems and determine parameter settings.
Work closely with other optimization specialists who develop new approaches to these incredibly challenging problems.
Develop, maintain, and expand the benchmarking frameworks that measure Fastbreak AI’s performance across a wide variety of scheduling and optimization workloads.
Work closely with research, product, and infrastructure teams to ensure that our solvers deliver world-class speed, accuracy, and scalability on real-world problems.
Design and maintain benchmarking pipelines for different algorithmic approaches across an ever-growing set of highly proprietary benchmark problems.
Develop automated tools for parameter tuning, performance profiling, and regression detection.
Analyze algorithmic performance and identify bottlenecks in computation, model formulation, and solver configuration.
Generate detailed benchmark reports and visualizations to guide engineering and research decisions.
Collaborate with the optimization team to validate algorithmic improvements.
Maintain version-controlled benchmark datasets and metrics repositories.
Integrate benchmark testing into CI/CD pipelines for solver components.