NLP / LLM Scientist – Applied AI ML Lead – Machine Learning Centre of Excellence

Job Description

NLP / LLM Scientist – Applied AI ML Lead – Machine Learning Centre of Excellence

The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning, and recommendation systems.

As an NLP / LLM Scientist – Applied AI ML Lead, you will be responsible for researching and exploring new machine learning methods, developing state-of-the-art machine learning models, and collaborating with multiple partner teams to deploy solutions into production. You will also promote firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business.

The candidate must excel in working in a highly collaborative environment together with the business, technologists, and control partners to deploy solutions into production. A strong passion for machine learning and independent time invested in learning, researching, and experimenting with new innovations in the field is essential. The candidate must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn, and be highly motivated.

Job Responsibilities

1. Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation, and participating in our knowledge-sharing community.
2. Develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks such as NLP, speech recognition and analytics, time-series predictions, or recommendation systems.
3. Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production.
4. 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

1. Solid background in NLP or speech recognition and analytics, personalization/recommendation, and hands-on experience with solid understanding of machine learning and deep learning methods.
2. PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) with reasonable industry experience, or an MS with significant industry or research experience in the field.
3. Extensive experience with machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas).
4. Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals.
5. Experience with big data and scalable model training, along with solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
6. Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments.
7. Curious, hardworking, detail-oriented, and motivated by complex analytical problems.

Preferred Qualifications, Capabilities, and Skills

1. Strong background in Mathematics and Statistics, familiarity with the financial services industries, continuous integration models, and unit test development.
2. Knowledge in search/ranking, Reinforcement Learning, or Meta Learning.
3. 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.
4. Published research in areas of Machine Learning, Deep Learning, or Reinforcement Learning at a major conference or journal.

About MLCOE

The Machine Learning Center of Excellence (MLCOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role, you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. You will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.

For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe. To learn about how we’re using AI/ML to drive transformational change, please read this blog: https://www.jpmorgan.com/insights/technology/technology-blog?source=cib_di_jp_aBtechblog102.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals, and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. 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. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers, and employees up for success.

Company:

JPMorgan Chase & Co.

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Big Data, Industry, Natural Language Processing, NLP, Speech Recognition, United Kingdom