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Careers

Build the Future of Sports Analytics

We're building the future of sports analytics. Join a team where your work directly impacts the bottom line.

$180K-$250K

Quantitative Analyst

Design and implement predictive models that consistently outperform market lines across multiple sports. You'll work with proprietary datasets, develop novel features, and iterate on model architectures to maximize edge.

Requirements: 3+ years in quantitative finance, sports analytics, or ML research. Strong foundation in probability theory, Bayesian methods, and time-series analysis. Experience with backtesting frameworks and avoiding data leakage.

PythonStatisticsMLSQL
$200K-$300K

Senior ML Engineer

Architect and scale our ML infrastructure to process millions of data points daily with sub-second latency. Own the full pipeline from data ingestion to model serving, ensuring reliability and performance at scale.

Requirements: 5+ years building production ML systems. Deep experience with model training pipelines, feature stores, and real-time inference. Strong understanding of distributed systems and cloud infrastructure.

PyTorchAWSMLOpsKubernetes
$150K-$200K

Full-Stack Developer

Build and ship user-facing features used by thousands of bettors daily. You'll own entire features end-to-end, from database design to pixel-perfect UI, working closely with our quant team to surface insights effectively.

Requirements: 3+ years full-stack experience with React and Node.js. Strong TypeScript skills and attention to UX detail. Experience with real-time data, WebSockets, and building performant dashboards.

ReactNode.jsTypeScriptPostgreSQL
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