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Machine Learning Scientist – NLP & Time Series - Vice President
JPMorgan Chase New York, NY
$127k-156k (estimate)
Full Time | Banking 3 Weeks Ago
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JPMorgan Chase is Hiring a Machine Learning Scientist – NLP & Time Series - Vice President Near New York, NY

Explore complex challenges and transform how the bank operates with Applied AI ML opportunities at Sr. Associate, Vice President, and Executive Director level in New York, Palo Alto, and Seattle, WA. As a Machine Learning Scientist, you'll apply sophisticated methods to tasks like natural language processing, speech analytics, and recommendation systems. You'll work collaboratively with business, technologists, and control partners, and should have a passion for machine learning, strong analytical thinking, and a deep desire to learn.

As a Machine Learning Scientist – NLP & Time Series - Vice President within the Machine Learning Center of Excellence, you will have the unique opportunity to apply sophisticated machine learning methods to a wide variety of complex tasks. You will collaborate with various teams to deploy solutions into production and promote firm-wide initiatives. You will also have the chance to independently study, research, and experiment with new innovations in the field. This role offers a chance to profoundly transform how the bank operates.

Job Responsibilities

  • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
  • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems
  • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
  • Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business

 Required qualifications, capabilities, and skills

  • [ED]: PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science, with at least five years of industry or research experience in the field. Or an MS with at least eight years of experience; [VP]: PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science. Or an MS with at least three years of industry or research experience in the field; [Assoc]: MS in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science
  • Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
  • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
  • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
  • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
  • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
  • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems

Preferred qualifications, capabilities, and skills

  • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development
  • Knowledge in search/ranking, Reinforcement Learning or Meta Learning
  • Experience with A/B experimentation and data/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
  • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal

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Job Summary

JOB TYPE

Full Time

INDUSTRY

Banking

SALARY

$127k-156k (estimate)

POST DATE

05/18/2024

EXPIRATION DATE

07/14/2024

WEBSITE

jpmorganchase.com

HEADQUARTERS

MCKINNEY, TX

SIZE

>50,000

FOUNDED

1968

REVENUE

>$50B

INDUSTRY

Banking

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About JPMorgan Chase

For over 200 years, JPMorgan Chase & Co has provided innovative financial solutions for consumers, small businesses, corporations, governments and institutions around the world. Today, we're a leading global financial services firm with operations servicing clients in more than 100 countries. Whether we are serving customers, helping small businesses, or putting our skills to work with partners, we strive to identify issues and propose solutions that will propel the future and strengthen both our clients and our communities. 2017 JPMorgan Chase & Co. JPMorgan Chase is an equal opportunity and... affirmative action employer Disability/Veteran. More
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