Staff MLE - Supply Chain

For our client, we are seeking a Staff MLE - Supply Chain to join the team of a leader in the Enterprise Technology space. This role will shape the AI and machine learning strategy for supply chain operations, turning large-scale data into forecasting and optimization solutions that improve planning decisions. The position combines advanced modeling, production engineering, and data infrastructure work across demand, inventory, and supply network workflows. You will partner closely with cross-functional stakeholders to ensure data integration, model performance, and real-time monitoring support business outcomes at scale. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $178,640 – $319,000 annually Responsibilities Define the end-to-end AI transformation roadmap for supply chain Design, train, validate, and deploy ML models to production Build predictive models to forecast demand and inventory across the supply network Create novel features using large-scale datasets and build ETL pipelines Deliver production-grade code supporting batch and real-time inference Act as the AI liaison to cross-functional teams, ensuring alignment on data integration Drive enhancements to data infrastructure for real-time model training and monitoring Qualifications 8+ years of applied data science or ML experience, ideally in supply chain or operations Master's or PhD in Computer Science, Statistics, Data Science, EE, OR, or a related field Expert-level statistical modeling and ML skills, including time series forecasting and optimization Strong Python coding skills and fluency in SQL, with experience developing production ML systems Proficiency in MLOps practices such as automated testing, CI/CD, and model monitoring Benefits Flexible, employee-led remote work model Comprehensive health and parental leave plans Professional development stipend Opportunity for above-market total compensation including equity and performance bonuses Support for long-term success and career growth Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.