Applied AI ML-Senior Associate

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role in the Consumer & Community Banking division. This division serves Chase customers through personal banking, credit cards, mortgages, auto financing, investment advice, small business loans, and payment processing. The team leads the U.S. in credit card sales and deposit growth, offers the most-used digital solutions, and ranks first in customer satisfaction.

About the role

As an Applied AI/ML Senior Associate in the AI for Operations organization, you will design, build, and scale cutting-edge Natural Language Processing (NLP) solutions to improve experiences for both customers and internal agents. You will work hands-on across the end-to-end model lifecycle, partnering with product, engineering, operations, and risk stakeholders to translate operational needs into production-grade language capabilities such as intelligent search, summarization, classification, and next-best-action recommendations.

You will apply strong technical judgment to choose the right approaches (including modern LLM-based methods where appropriate), evaluate performance with rigorous metrics, and ensure solutions are reliable, secure, and scalable in real-world environments. Additionally, you will contribute to improving data quality, monitoring models in production, and continuously iterating to reduce agent effort, shorten resolution times, and increase consistency and quality across operational workflows.

Responsibilities

• Apply deep natural language processing (NLP) knowledge and critical thinking skills to perform advanced analytics, solving complex and multi-faceted business problems.
• Contribute to the full product development lifecycle, including defining objectives and key deliverables.
• Act as an advanced contributor in system development, computer algorithms, NLP, and machine learning.
• Contribute to the continuous learning mindset of the organization by bringing in new knowledge, ideas, and perspectives.

Requirements

• Undergraduate and master’s degrees in Computer Science, with training and work experience in LLM/NLP and search.
• Outstanding written and oral communication skills to present analytical findings and influence key project stakeholders.
• Advanced demonstrable programming skills of 2+ years (master’s or industry experience) in more than one programming language such as Spark, Python, Scala, or Java.
• Ability to quickly learn new programming languages and adapt seamlessly.
• Full understanding of and hands-on programming experience with data structures, algorithms, operating systems, compilers, databases, and systems.

Preferred Qualifications

• Undergraduate and master’s degree in Computer Science with a concentration in NLP or Search.
• Experience developing large-scale machine learning solutions based on big data to solve real-world problems (e.g., classification, regression, or recommender systems).

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity.
• Comprehensive health care coverage, on-site health and wellness centers, and a retirement savings plan.
• Backup childcare, tuition reimbursement, mental health support, and financial coaching.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans.