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NLP / LLM Researcher - AI and Machine Learning Expert - Machine Learning Centre of Excellence

1 month ago


London, Greater London, United Kingdom https:jobs-redefined.cositemap Full time
About the Role

This is an exciting opportunity to join our Machine Learning Centre of Excellence as an NLP / LLM Researcher, where you will be applying sophisticated machine learning methods to a wide range of complex tasks.

As a key member of our team, you will be working in a highly collaborative environment, deploying solutions into production, and continuously learning and researching new innovations in the field.

You will be responsible for developing state-of-the-art machine learning models to solve real-world problems and collaborating with multiple partner teams to deploy these solutions.

Key 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 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.
Requirements
  • 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.
  • 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 industry or research experience in the field.
  • Applied 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.
  • Curious, hardworking, and detail-oriented, and motivated by complex analytical problems.
Preferred Qualifications
  • 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.
About the Machine Learning Centre of Excellence

The Machine Learning Centre of Excellence (MCLOE) 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.

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.