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Lead NLP Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: JPMorgan Chase & Co.
Full Time position
Listed on 2026-01-14
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Engineer
Job Description & How to Apply Below
Location: New York

As Lead NLP Engineer in our AI for Operations organization, you will work with colleagues across JPMorgan Chase developing cutting‑edge products and systems to serve our customers and internal agents supporting the bank’s operations.

Job Responsibilities
  • Have experience in working in a product‑oriented work operating model where design, product management, data science, and engineering work side‑by‑side in delivering products for customer services.
  • Apply deep natural language processing (NLP) knowledge & experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi‑fasceted business problems.
  • Generate deep insights through the analysis of data and understanding of the bank’s operations that are both external and internal facing and turn them into actionable recommendations.
  • Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
Required qualifications, capabilities, and skills
  • Undergraduate and advanced degrees in Computer Science withconcentration in Artificial Intelligence, prefer training and work experience in NLP.
  • Outstanding programming skillset across multiple programming languages on distributed compute.
  • Critical to have - experience inprogrammingdistributed machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
  • Can learn quickly programming in another programming language and seamlessly.
Preferred qualifications, capabilities, and skills
  • Ph.D. in Computer Science with concentration in Artificial Intelligence, prefer training and work experience in NLP.
  • Extensive experience with big-data environments (e.g. Hadoop, Spark) and code development experience on a cloud development platform.
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