NLP LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence
NLP LLM Scientist - Applied AI ML Senior Associate - Machine Learning Centre of Excellence
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Job Description
NLP / LLM Scientist Applied AI ML Senior Associate Machine Learning Centre of Excellence
The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing speech analytics time series reinforcement learning and recommendation systems.
The candidate must excel in working in a highly collaborative environment together with the business technologists and control partners to deploy solutions into production. The candidate must also have a strong passion for machine learning and invest independent time towards learning researching and experimenting with new innovations in the field. The candidate must have practiced expertise in Deep Learning with handson implementation experience and possess strong analytical thinking a deep desire to learn and be highly motivated.
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
- Solid background in NLP or speech recognition and analytics personalization/recommendation and handson experience and solid understanding of machine learning and deep learning methods
- PhD in a quantitative discipline e.g. Computer Science Electrical Engineering Mathematics Operations Research Optimization or Data Science with reasonable industry experience or an MS with industry or research experience in the field
- Applied 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
About MLCOE
The Machine Learning Center of Excellence (MCLOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multidisciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cuttingedge techniques in disciplines such as Deep Learning and Reinforcement Learning
For more information about the MLCOE please visit To learn about how were using AI/ML to drive transformational change please read this blog: 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.
Required Experience:
Senior IC
Employment Type
Full-Time
