Machine Learning Scientist NLP Senior Associate Machine Learning Center of Excellence

JPMorganChase

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: $ 128250 - 195000
Posted on: 29 days ago
Vacancies: 1 Vacancy

Job Summary

Description

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firms data and analytics journey. This includes ensuring the quality integrity and security of the companys data as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firms commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products improve productivity and enhance risk management effectively and responsibly.

This role offers the unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates.

As a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate within our team you will have the opportunity to apply advanced machine learning techniques to tackle complex tasks such as natural language processing speech analytics time series analysis reinforcement learning and recommendation systems. You will collaborate with various teams and actively engage in our knowledge-sharing community. We seek someone who thrives in a highly collaborative environment working closely with our business technologists and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy dedicating time to learning researching and experimenting with new innovations in the field this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience strong analytical thinking a deep desire to learn and high motivation.

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 natural language processing (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

  • PhD in a quantitative discipline e.g. Computer Science Electrical Engineering Mathematics Operations Research Optimization or Data Science Or an MS with at least 3 years of industry or research experience in the field.
  • 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



Required Experience:

Senior IC

DescriptionThe Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firms data and analytics journey. This includes ensuring the quality integrity and security of the companys data as well as leveraging this data to generate insights and drive decision-making. T...
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Key Skills

  • Industrial Maintenance
  • Machining
  • Mechanical Knowledge
  • CNC
  • Precision Measuring Instruments
  • Schematics
  • Maintenance
  • Hydraulics
  • Plastics Injection Molding
  • Programmable Logic Controllers
  • Manufacturing
  • Troubleshooting

About Company

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JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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