About the role
Who we are Lab37 Robotics is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our industry.
About
the role Own the forecasting and optimization models that turn Lab37's operational data into automated decisions: how much to prep, when and how much to refill each robot, and how to schedule labor against demand. The core challenge is decision-making under uncertainty: committing to prep quantities before demand is known, then scheduling constrained, perishable production against those commitments — a stochastic optimization problem with a probabilistic-forecasting front-end. You'll turn ambiguous, constraint-driven problems into structured models and drive them from concept to production, balancing accuracy, calibration, interpretability, and impact.
What you'll do Operations Research & Optimization Formulate and solve the core planning problem as optimization under uncertainty: prep, refill, and labor decisions coupled through shared, perishable, capacity-constrained production. Define objectives over the real tradeoffs (waste, stockouts, labor, quality, timing) under hard perishability constraints, and derive the service levels they imply rather than hand-tuning them. Match method to problem across closed-form, heuristic, and exact approaches (LP/MIP/CP), knowing when decomposition, duality, or a full solver is warranted, and when it's overkill. Build optimizers that continuously re-plan and that operators can read, trust, and override, with overrides captured as signal. Turn today's heuristics into constraint-aware optimizers, and prove the gain with walk-forward backtests that price the tradeoffs in operational and dollar terms. Forecasting Develop probabilistic demand forecasts for high- and low-volume components. Produce calibrated forecasts and correct censored demand where stockouts hide true demand. Solve cold-start forecasting for new locations with little or no history. Cross-functional collaboration Partner with operations, product, and engineering to translate data into crisp