NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of ExcellenceJPMorganChase • London, England, United Kingdom
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NLP / LLM Scientist - Applied AI ML Lead - Machine Learning Centre of Excellence
JPMorganChase
- London, England, United Kingdom
- London, England, United Kingdom
À propos
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, large language models, and recommendation systems. Job Responsibilities
Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participation in knowledge sharing. Develop state-of-the-art machine learning models to solve real-world problems and apply them to NLP, LLMs or recommendation systems. Produce outputs that lead to high-impact business applications, open-source software, patents, and publications in top AI/ML conferences and journals. Collaborate with partner teams across 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
Solid background in NLP and LLMs, 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, Data Science) with reasonable industry experience, or an MS with significant industry or research experience in the field. 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; strong written and spoken communication to effectively convey technical concepts to technical and business audiences. Scientific thinking with the ability to invent and work independently and in highly collaborative team environments. Curious, hardworking, detail-oriented, and motivated by complex analytical problems. Preferred Qualifications, Capabilities, And Skills
Strong background in Mathematics and Statistics and familiarity with financial services industries; experience with continuous integration models and unit test development. Knowledge in search/ranking, Reinforcement Learning or Meta Learning. Expertise in recommendation systems. Experience with A/B experimentation and data/metric-driven product development; cloud-native deployment in large-scale distributed environments; ability to develop and debug production-quality code. Published research in Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal. About MLCOE
The Machine Learning Center of Excellence (MCLOE) partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. You will work with a multidisciplinary team focused exclusively on Machine Learning, employing techniques in Deep Learning and Reinforcement Learning. For more information about the MLCOE, please visit http://www.jpmorgan.com/mlcoe. To learn how AI/ML is driving transformational change, read the blog: https://www.jpmorgan.com/insights/technology/technology-blog?source=cib_di_jp_aBtechblog102 About The Team
Our professionals in Corporate Functions cover finance, risk, human resources and marketing. Our corporate teams are essential to ensuring success across our business, clients, customers and employees. Company Details
J.P. Morgan is a global leader in financial services, providing strategic advice and products to corporations, governments, and institutional investors. We are an equal opportunity employer and value diversity and inclusion. We do not discriminate on protected attributes and provide reasonable accommodations as needed. See our FAQs for more information about accommodations. Job Details
Seniority level: Not Applicable Employment type: Full-time Job function: Research, Analyst, and Information Technology
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Compétences linguistiques
- English
Avis aux utilisateurs
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