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Stage Natural Language Processing Jobs (NOW HIRING)

1872 Consulting

Data Science Manager

Santa Clara, CA · On-site

Requirements: * 6+ of software industry experience in Data Science or Natural Language Processing * 2+ years of experience in managing technical teams or track record of technical leadership ...

Saviance

Data Science

Los Angeles, CA

Natural language processing * Machine Learning * Python Nice to have skills (Top 2 only) * Neural Networks * Chatbot Detailed At least 7 years of overall experience in Data Science technologies ...

Syntricate Technologies

Data Science

Sunnyvale, CA

Extensive experience on Natural Language Processing (NLP) libraries such as Spacy, NLTK, flair, and sklearn-crfsuite. Strong background in DNN, CNN, RNN(LSTM), GAN, and libraries to deploy these ...

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Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate - Machine Learn...

JPMorganChase

Manhattan, NY • On-site

$65K - $65.50K/yr

Full-time

Posted 27 days ago

Job description

Job Summary:
JPMorgan Chase is a leading global financial institution that invests heavily in innovation and data analytics. They are seeking a Machine Learning Scientist – Natural Language Processing (NLP) - Senior Associate to develop and deploy machine learning solutions, particularly in Generative AI, while collaborating with various business lines to drive transformational change.
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
Qualifications:
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
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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