About this role
As an Applied AI/ML Executive Director in Chase’s AI for Operations organization, design, build and scale natural language processing solutions for customers and internal agents in Consumer & Community Banking. Work across the model and product development lifecycles to turn operational needs into production-grade capabilities, including intelligent search, summarization, classification and next-best-action recommendations.
Responsibilities
- Partner with product, engineering, operations and risk stakeholders to define objectives and key deliverables and solve complex business problems through NLP, machine learning, algorithms and advanced analytics.
- Select appropriate technical approaches, including LLM-based methods where suitable; evaluate performance with rigorous metrics and deliver reliable, secure and scalable solutions.
- Improve data quality and feedback loops, monitor production models and iterate to reduce agent effort and resolution times while improving workflow consistency and quality. Share new knowledge and ideas across the organization.
Required qualifications
- A PhD in Computer Science, Data Science or a similar field with 10+ years of experience, or a master’s degree in a similar field with 15+ years of experience, including work in LLM/NLP, generative AI, agentic AI and search.
- Advanced programming ability in more than one language, such as Spark, Python, Scala or Java; ability to learn another language quickly. Hands-on understanding of data structures, algorithms, operating systems, compilers, databases and systems.
- Strong written and oral communication skills to present analytical findings and influence stakeholders.
Preferred qualifications
- Undergraduate and master’s degrees in computer science with an NLP concentration or search experience. Experience developing large-scale machine learning solutions using big data, such as classification, regression or recommender systems, is optional.
The role is listed in New York, NY, and Palo Alto, CA, with a base salary range of $223,000-$325,000 at either location. Eligible employees may receive incentive compensation and benefits, subject to eligibility.