Machine Learning Scientist - NLP - Senior Associate - Machine Learning Center of Excellence

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 a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate in the Chief Data & Analytics Office (CDAO) at JPMorgan Chase, you will have the unique opportunity to apply sophisticated machine learning methods to complex tasks.

You will collaborate with various teams and actively participate in our knowledge sharing community.

In this role, you will be part of a highly collaborative environment, working closely with our business, technologists, and control partners to deploy solutions into production.

We are looking for someone with a strong passion for machine learning, who is motivated to invest time in learning, researching, and experimenting with new innovations in the field.

If you have solid expertise in Deep Learning with hands-on implementation experience, strong analytical thinking, and a deep desire to learn, we would love to hear from you.

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 it to tasks such as 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 at least 3 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 a...