Senior Associate Applied AI ML

JPMorgan Chase

Confirmed live 2 days ago Trusted

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Work type
On-site
Location
New York, NY
Posted
158 days ago
Freshness
Confirmed live 2 days ago

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How this pay compares to similar roles

Similar $212k
$158k most similar roles pay here $274k

This listing doesn't post a salary. Most similar roles pay $169,387–$254,750.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Senior Associate Applied AI ML

As an Applied AI ML-Senior Associate within the AI for Operations organization, you will design, build, and scale cutting-edge Natural Language Processing solutions to improve experiences for both customers and internal agents. You will manage the end-to-end model lifecycle by partnering with product, engineering, operations, and risk stakeholders to translate operational needs into production-grade capabilities like intelligent search, summarization, classification, and next-best-action recommendations. Your daily work involves applying technical judgment to select LLM-based methods, ensuring solutions are reliable, secure, and scalable while improving data quality and monitoring models in production. You will utilize advanced programming skills in Spark, Python, Scala, or Java to solve complex problems. The role requires expertise in data structures, algorithms, and machine learning systems to enhance operational workflows and reduce agent effort within the banking domain.

What you'll do

  • Design, build, and scale cutting-edge Natural Language Processing (NLP) solutions for customers and internal agents.
  • Apply technical judgment to select appropriate models, including modern LLM-based methods.
  • Develop production-grade capabilities such as intelligent search, summarization, classification, and next-best-action recommendations.
  • Evaluate model performance using rigorous metrics to ensure reliability, security, and scalability in real-world environments.
  • Improve data quality and establish feedback loops for models in production.
  • Iterate on solutions to reduce agent effort, shorten resolution times, and increase consistency across workflows.
  • Translate complex operational needs from stakeholders into technical requirements and product deliverables.
  • Perform advanced analytics to solve multi-faceted business problems using NLP and machine learning.

What we're looking for

  • Undergraduate and master's degrees in Computer Science.
  • Training and work experience in LLM/NLP and search.
  • Advanced demonstratable programming skills of 2 years on more than one language such as Spark, Python, Scala, or Java.
  • Proficiency in data structures, algorithms, operating systems, compilers, databases, and systems.
  • Ability to learn new programming languages quickly and seamlessly.
  • Outstanding written and oral communication skills to present findings and influence stakeholders.
  • Experience developing large-scale machine learning solutions based on big data for classification, regression, or recommender systems.

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