JPMorgan Chase is looking to solve complex tasks including natural language processing, speech analytics, and recommendation systems by applying sophisticated machine learning methods.
Requirements
- Good understanding of the latest advancement of NLP concepts, such as the transformer architecture and knowledge distillation.
- Experience in classical ML techniques including classification, clustering, optimization, cross validation, data wrangling, feature selection, and feature extraction
- Ability to design experiments — establish strong baselines, choose meaningful metrics, and evaluate model performance rigorously
- 2 years of hands-on experience with virtual assistant model development and optimization
- Familiarity with continuous integration models and unit test development
- Experience with A/B experimentation and data/metric-promoten product development
Responsibilities
- 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, or recommendation systems
- Choosing, extending and innovating ML strategies for various banking problems
- Analyzing and evaluating the ongoing performance of developed models
- Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
- Learning about and understanding our supported businesses in order to promote practical and successful solutions
Other
- We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
- You will collaborate with various teams and actively participate in the knowledge sharing community.
- You should excel in working in a highly collaborative environment together with the business, technologists, and control partners to deploy solutions into production.
- You should also have a strong passion for machine learning and invest independent time towards learning, researching, and experimenting with new innovations in the field.
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
- Solid written and spoken communication skills
