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
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• 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
Apply To this Job