招聘
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:
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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.
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Apply deep natural language processing (NLP) knowledge & experience and critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
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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.
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Contribute to the full product development lifecycle, including defining the objective and key product deliverables.
Required qualifications, capabilities, and skills:
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Undergraduate and advanced degrees in Computer Science with concentration in Artificial Intelligence, prefer training and work experience in NLP.
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Outstanding programming skillset across multiple programming languages on distributed compute.
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Critical to have - experience in programming distributed machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems).
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Can learn quickly programming in another programming language and seamlessly.
Preferred qualifications, capabilities, and skills:
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Ph.D. in Computer Science with concentration in Artificial Intelligence, prefer training and work experience in NLP.
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Extensive experience with big-data environments (e.g. Hadoop, Spark) and code development experience on a cloud development platform.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
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Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2 reports
$188,500
total / year
Base
$145,000
Stock
-
Bonus
-
$182,000
$195,000
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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