Engineering Manager, ML and Optimization Systems

Job Description: • Manage a team of Data Scientists, ML Engineers, and Software Engineers focused on architecting, building, and operating the Dispatch Optimization platform. • Drive scientific rigor and engineering excellence to transform model outputs into real-time, high-impact dispatch decisions that directly optimize cost efficiency and service levels. • Own the successful implementation and delivery of projects defined on the ML roadmap. • Lead the process to define and select the optimal Data Science, Machine Learning, and Optimization strategy. • Guide the design and implementation of end-to-end cloud-native Python services that execute constrained optimization algorithms and deliver low-latency, real-time dispatch decisions. • Partner effectively with Product, Operations, and Data Engineering teams to communicate complex technical findings, scientific trade-offs, and operational risks to non-technical stakeholders and executive leadership. Requirements: • Bachelor's Degree (Master's preferred) in Computer Science, Computer Engineering, Data Science, Operations Research, or a closely related quantitative field. • 6+ years relevant experience in Data Science, ML Engineering, or Operations Research, with significant experience transitioning research models into production-grade, scalable systems. • 2+ years proven experience in engineering management or a similar technical leadership role, specifically managing Data Science or ML Engineering teams. • Demonstrated track record of successfully leading and shipping complex DS/ML and Optimization projects (e.g., dispatch platforms, real-time decision engines) that delivered measurable business value. • Experience managing and operating 24x7 real-time information systems and/or technical operations. • Deep understanding of Data Science, ML techniques (e.g., XGBoost, PyTorch, Transformers), optimization methods (MIP/Linear/Stochastic), and architectural requirements for low-latency, real-time decision services. Skilled in Python, SQL, and Cloud (AWS) MLOps and Data pipelines (Airflow, SageMaker, or equivalents). Benefits: • Health and Wellness: Healthcare, dental, vision, disability, life insurance, and mental health benefits for associates and their families. • Financial Security: 401(k) plan with company match and tuition assistance to support your future goals. • Work-Life Balance: Flexible time off, paid sick leave, and ten paid holidays annually. • Family Support: Parental planning benefits to assist associates through life’s milestones. • Bonus/Incentive Programs Apply tot his job