JPMorgan Chase is looking to apply advanced machine learning techniques to intricate tasks such as natural language processing, speech analytics, and recommendation systems to solve real-world banking problems and deploy solutions into production.
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
- 5 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-driven 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 drive practical and successful solutions
Other
- MS with 7+ years, or PhD with 4+ years of hand-on industry experience in Machine Learning.
- Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
- Solid written and spoken communication skills
- We are an equal opportunity employer and place a high value on diversity and inclusion at our company.
- We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.
