Applied AI ML Director - NLP / LLM and Graphs

Applied AI ML Director - NLP / LLM and Graphs

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Job Description

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s 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 Applied AI ML Director - NLP / LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time series, reinforcement learning, and recommendation systems. You will collaborate with various teams and actively participate in our knowledge sharing community. We are looking for someone who excels in a highly collaborative environment, working together with our business, technologists, and control partners to deploy solutions into production. If you have a strong passion for machine learning and enjoy investing time towards learning, researching, and experimenting with new innovations in the field, this role is for you. We value solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, a deep desire to learn, and high motivation.

Job Responsibilities

• Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation, and participating in our knowledge sharing community
• Develop state-of-the-art machine learning models to solve real-world problems and apply them 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
• Drive firm-wide initiatives by developing large-scale 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, or an MS with significant industry or research experience in the field
• Solid background in NLP, LLM, and graph analytics with 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 evaluate model performance metrics aligned with business goals
• Experience with big data and scalable model training, along with effective communication skills to convey technical concepts to technical and business audiences
• Scientific thinking, independent and collaborative working skills, curiosity, hardworking, and detail-oriented with motivation for complex analytical problems

Preferred Qualifications, Capabilities, And Skills

• Strong background in Mathematics and Statistics, familiarity with financial services, and experience with continuous integration and unit testing
• Knowledge in search/ranking, Reinforcement Learning, or Meta Learning
• Experience with A/B testing, data-driven product development, cloud-native deployment, and production-quality coding
• Published research in Machine Learning, Deep Learning, or Reinforcement Learning at major conferences or journals

About MLCOE

The Machine Learning Center of Excellence (MLCOE) partners across the firm to create and share ML solutions for challenging business problems. You will work with a multidisciplinary team focused on cutting-edge techniques in Deep Learning and Reinforcement Learning. For more information, visithttp://www.jpmorgan.com/mlcoe.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to prominent clients worldwide. We value diversity and inclusion, and are committed to equal opportunity employment, making reasonable accommodations for applicants and employees.

About The Team

Our professionals cover a wide range of corporate functions, ensuring the success of our business, clients, and employees.

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