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hackajob · 21 hours ago

Machine Learning Scientist - Natural Language Processing (NLP) - Sr Associate - Machine Learning Center of Excellence

New York, NY

Full-time

Onsite

Entry, Mid Level

$128K/yr - $195K/yr

2+ years exp

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for the role of Machine Learning Scientist – Natural Language Processing (NLP). In this position, you will own the full lifecycle of developing and deploying machine learning solutions, focusing on Generative AI and driving transformational change for the bank.

Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware

Responsibilities

Research and develop state-of-the-art machine learning models to solve real-world problems and apply them to tasks involving Generative AI (GenAI)

Act as a thought partner for JPMC leaders and help the business identify and implement new machine learning methods that deliver impact

Drive cross-functional collaboration with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production

Lead firm-wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business

Qualification

Generative AIMachine LearningDeep LearningTensorFlowPyTorchData ScienceMathematicsStatisticsScientific ThinkingCommunication SkillsCollaboration

Required

PhD in a quantitative discipline, e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science, OR an MS with at least 2 years of industry or research experience in the field

Solid background in Generative AI (GenAI) and hands-on experience and solid understanding of machine learning and deep learning methods and 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

Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments

Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences

Preferred

Strong background in Mathematics and Statistics; Familiarity with the financial services industries and continuous integration models and unit test development

Knowledge in search/ranking 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 or Deep Learning at a major conference or journal