Machine Learning Scientist - Natural Language Processing NLP - Executive Director - Machine Learning Center of Excellence
Machine Learning Scientist - Natural Language Processing NLP - Executive Director - Machine Learning Center of Excellence
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$ 200000 - 325000
1 Vacancy
Job 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 decisionmaking. The CDAO is also responsible for developing and implementing solutionsthat 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.
As an Executive Director on the Machine Learning Center of Excellence (MLCOE) team you will be responsible for applying advanced machine learning techniques to a variety of complex tasks. These tasks include natural language processing speech analytics time series reinforcement learning and recommendation systems. You will work closely with different teams and actively contribute to our knowledge sharing community.
In a highly collaborative environment you will partner with business professionals technologists and control partners to implement solutions into production. Your passion for machine learning should be evident and you should be willing to dedicate time to learning researching and experimenting with new innovations in the field. Your expertise in Deep Learning and Large Language Models coupled with handson implementation experience strong analytical thinking a deep desire to learn and high motivation will be crucial for this role.
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 natural language processing (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 with at least five years of industry or research experience in the field. Or an MS with at least eight years of experience.
- 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
- Strong publication record in Natural Language Processing Machine Learning Deep Learning or Reinforcement Learning at major conferences or journals
Required Experience:
Director
Employment Type
Full-Time
