Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence
Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence
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$ 164350 - 260000
1 Vacancy
Job Description
Join the Chief Data & Analytics Office (CDAO) at JPMorgan Chase a team dedicated to enhancing the firms data and analytics journey ensuring data quality integrity and security and leveraging it to promote decisionmaking. We harness artificial intelligence and machine learning to support commercial goals develop new products and enhance risk management. Were offering opportunities at Sr. Associate Vice President and Executive Director level in New York Palo Alto and Seattle WA. As a Machine Learning Scientist youll tackle complex challenges apply advanced methods to tasks like natural language processing and work collaboratively with diverse teams. Passion for machine learning and strong analytical thinking are a must.
As a Machine Learning Scientist Natural Language Processing (NLP) Vice President Machine Learning Center of Excellence 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 firmwide 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 industryleading conferences experimentation and participating in our knowledge sharing community
- Develop stateofthe art machine learning models to solve realworld problems and apply it to tasks such as NLP speech recognition and analytics timeseries 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 largescale 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 a MS with at least three years of industry or research experience in the field
- Solid background in NLP or speech recognition and analytics personalization/recommendation and handson 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 ScikitLearn 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 detailoriented 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/metricdriven product development cloudnative deployment in a large scale distributed environment and ability to develop and debug productionquality code
- Published research in areas of Machine Learning Deep Learning or Reinforcement Learning at a major conference or journal
Required Experience:
Chief
Employment Type
Full-Time
