CookUnity jobs

Senior Data Scientist, Retention & Product at CookUnity, a 50M-meals/year meal-delivery platform. Own churn/retention modeling, survival analysis, and lifecycle personalization to prevent customer churn in a subscription model. Requires 5–8+ years applied ML/statistics, causal inference, MLOps, and Python expertise. Remote, competitive salary (not specified). Focus is predictive modeling and experimentation, not product engineering or full-stack development.

Senior Full Stack Engineer, Supply Tech role at CookUnity building recipe management systems for the food delivery platform. Responsibilities include designing Kotlin/Java backend services, contributing React frontend work, implementing workflow automation via Temporal, and database optimization. Requires strong backend and full-stack capabilities with focus on microservices architecture and system reliability. Position is remote but restricted to Latam candidates.

CookUnity is hiring a Food Safety Supervisor in New York to oversee food safety compliance in their ready-to-eat meal production kitchens. Responsibilities include regulatory inspections, food safety audits, staff training on sanitation and GMP, and environmental monitoring. Requires bachelor's in Food Science or equivalent, ServSafe certification, and bilingual Spanish/English skills. Compensation is $22–$26/hour.

This is an AI-native engineering role at CookUnity's Applied AI team (identical to job 351bb24c but located in Toronto, Canada). The position focuses on discovering, designing, and shipping automated workflows and internal tools—analyzing business processes, identifying automation opportunities, architecting agentic and deterministic solutions, and owning them in production. The role emphasizes workflow redesign and business analysis over core product engineering. Located in Toronto, Ontario—outside the continental US, a clear dealbreaker.

This is an AI-native engineering role at CookUnity, a meal-delivery marketplace connecting chefs with consumers. The position sits within the Applied AI team and focuses on discovering, designing, and shipping automated workflows and internal tools—analyzing business processes, identifying automation opportunities, architecting agentic solutions, and owning them in production. The role blends business analysis, systems integration, and engineering, with emphasis on workflow redesign rather than product engineering. Located in New York (not fully remote), and appears focused on applied AI/automation rather than core full-stack development.