Applied AI/ML Lead Vice President, Payments

What you'll do

• Own the end-to-end delivery of AI/ML capabilities from initial problem framing to production rollout.
• Design and build production-grade ML systems that balance accuracy, latency, throughput, and cost at scale.
• Develop state-of-the-art neural approaches including Transformer architectures, fine-tuning, and model distillation.
• Define rigorous evaluation metrics to translate model performance into measurable business impact and loss reduction.
• Establish model lifecycle standards for reproducibility, monitoring, drift detection, and performance governance.
• Partner with Risk and Compliance stakeholders to ensure model explainability, documentation, and audit-ready processes.
• Lead technical decisions through design reviews, code reviews, and mentoring of applied scientists and engineers.
• Communicate complex model behaviors and trade-offs to senior stakeholders to support decision-making.

What we're looking for

• Master’s or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Operations Research, or a related field.
• 6+ years of industry experience delivering applied ML, or a PhD with equivalent applied experience.
• Demonstrated track record of shipping ML models into production with measurable business impact and post-launch iteration.
• Hands-on expertise in neural networks and Transformers, including fine-tuning, distillation, and model compression techniques.
• Strong software engineering skills in Python with deep experience in PyTorch or TensorFlow.
• Experience building data-driven systems using SQL and distributed processing like Spark or PySpark.
• Cloud and production experience on AWS or an equivalent cloud platform.
• Payments domain experience (preferred).