Lead the creation and operation of a complex, constraint-based optimization and recommendation ecosystem supporting the bank’s operations, integrating time-series predictions and demand forecasts with optimization models.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
- Lead the design and delivery of a complex constraint-optimization recommendation system
- Formulate global, system-wide optimization objectives and constraints
- Develop and validate time-series and demand-driven predictive models
- Build and lead a multidisciplinary team of applied AI/ML researchers, optimization specialists, and engineers
- Drive significant business stakeholder management across executive leadership and product, business, analytics, data, and engineering partners
- PhD in Computer Science in Artificial Intelligence, Operations Research, or a closely related quantitative discipline
- Nice to have: advanced research or specialized doctoral work at the intersection of AI/ML, time-series forecasting, demand modeling, and constraint optimization
- Nice to have: deep experience with distributed infrastructure
- Nice to have: deep experience with distributed ML and scalable optimization
- Nice to have: deep experience with production model lifecycle management
- comprehensive health care coverage
- on-site health and wellness centers
- retirement savings plan
- backup childcare
- tuition reimbursement
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