Applied AI ML-Senior Associate
About The Position
As an Applied AI/ML Senior Associate in our AI for Operations organization, you will help design, build, and scale cutting-edge Natural Language Processing (NLP) solutions that improve experiences for both customers and internal agents supporting the bank’s day-to-day operations. You’ll work hands-on across the end-to-end model lifecycle—partnering with product, engineering, operations, and risk stakeholders to translate real operational needs into production-grade language capabilities such as intelligent search, summarization, classification, and next-best-action recommendations.
Requirements
- Master's degree in computer Science, Machine Learning, or a related field with 3+ years experience OR Ph.D in computer Science, Machine Learning, or a related field with 1+ year of experience.
- Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps, Gen AI, LLMs.
- Solid understanding of core CS concepts, including common data structures and algorithms.
Nice To Haves
- Experienced in conducting design and code reviews.
- Proficient in cloud environments such as AWS, GCP, or Azure.
- Experienced in managing and deriving insights from large, both unstructured and structured datasets.
Responsibilities
- Oversee the analysis of complex datasets to inform decisions on real-world applications.
- Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
- Supervise data analysis activities and ensure effective visualizations are provided.
- Ensure the writing and deployment of software code in production systems is efficient and meets standards.
- Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
- Communicate complex issues clearly and credibly to senior management and stakeholders.
- Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.
Benefits
- comprehensive health care coverage
- on-site health and wellness centers
- a retirement savings plan
- backup childcare
- tuition reimbursement
- mental health support
- financial coaching
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
