Chase · 2 months ago
Executive Director - Applied Artificial Intelligence Machine Learning
545 Washington Blvd, Jersey City, NJ, 07310, US
Full-time
Onsite
Mid, Senior Level
$223K/yr - $325K/yr
5+ years expChase is a leading financial institution offering innovative financial solutions. As an Applied AI/ML Executive Director, you will apply your quantitative and analytical skills to develop machine learning models and collaborate with various teams to deploy solutions into production.
FinanceBankingFinancial Services
Responsibilities
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as natural language processing (NLP), speech recognition and analytics, time-series 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
Coaching other AI/ML team members towards both personal and professional success
Qualification
Required
PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science Or with at least 5 years of industry experience or an MS with at least 7 years of industry or research experience in the field
Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on 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, Scikit-Learn, 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 detail-oriented, and motivated by complex analytical problems
Preferred
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/metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal
Benefits
Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
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