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Company

Original Job Post

JPMorgan Chase & Co. · 1 week ago

Machine Learning Scientist - NLP - Sr. Associate

Seattle, WA

Full-time

Onsite

Senior Level

3+ years exp

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Responsibilities

Research and explore new machine learning methods through independent study, attending industry-leading conferences, and experimentation

Develop state-of-the-art machine learning models for tasks such as NLP, speech recognition, and analytics

Collaborate with various partner teams to deploy solutions into production

Drive firm-wide initiatives by developing large-scale frameworks for applying machine learning models across different business areas

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

NLPSpeech RecognitionMachine LearningDeep LearningExperimental DesignModel EvaluationBig DataScalable Model TrainingScientific ThinkingProblem-SolvingCommunicationCollaborationCuriosityHardworkingDetail-OrientedMotivatedMathematicsStatisticsFinancial servicesContinuous integrationUnit test developmentSearch/rankingReinforcement LearningMeta Learning/B experimentationData/metric-driven product developmentCloud-native deploymentLarge scale distributed environmentCode developmentCode debugging

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 3 years of industry or research experience in the field.

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

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 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

Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems

Preferred

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

Benefits

Comprehensive health care coverage

On-site health and wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Company

JPMorgan Chase & Co.

Glassdoor

4.0

With a history tracing its roots to 1799 in New York City, JPMorgan Chase 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

New York, New York, USA

10,001+ employees

http://www.jpmorganchase.com

H1B Sponsorship

JPMorgan Chase & Co. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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Trends of Total Sponsorships

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2020 (2556)