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Now viewing: Machine Learning Scientist Natural Language Processing (NLP) Vice President Machine Learn[…]
JC
JPMorgan Chase & Co.
Machine Learning Scientist Natural Language Processing (NLP) Vice President Machine Learn[…]
Job Description
Machine Learning Scientist
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.
Required qualifications, capabilities, and skills PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) with at least 3 years of experience, OR an MS with at least 5 years of industry or research experience in the field.
Solid background in Generative AI (GenAI) and hands‑on experience with 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 qualifications, capabilities, and skills 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.
This position is subject to Section19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries. 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. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans. #J-18808-
- Natural Language Processing (NLP)
- Vice President
- Machine Learn[…] Full Time Palo Alto, PA, United States Posted 2 days ago
Closes:
Nov 5, 2026 JPMorgan Chase & Co. Category Software Engineers/Developers Tags Industry Machine Learning Natural Language Processing NLP United States Share This Click to share on LinkedIn (Opens in new window) Click to share on Facebook (Opens in new window) Click to share on Twitter (Opens in new window) More Click to share on Reddit (Opens in new window) Click to share on Pinterest (Opens in new window) Click to share on Tumblr (Opens in new window) Click to share on Pocket (Opens in new window) Apply for job Login to bookmark this Job Overview At JPMorgan Chase, AI and technology promote our global operations with unmatched scale and speed. We invest over $18 billion annually in innovation, data leverage, and security to shape the future for our clients, communities, and employees. The Chief Data & Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges. By ensuring data quality and leveraging insights, the CDAO supports our commercial goals, enhancing productivity and risk management through AI and machine learning. As a Machine Learning Scientist- Natural Language Processing (NLP)
- Vice President in the Machine Learning Center of Excellence, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production.
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.
Required qualifications, capabilities, and skills PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science) with at least 3 years of experience, OR an MS with at least 5 years of industry or research experience in the field.
Solid background in Generative AI (GenAI) and hands‑on experience with 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 qualifications, capabilities, and skills 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.
This position is subject to Section19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries. 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. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans. #J-18808-
Ljbffr Company:
JPMorgan Chase Qualifications:
Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , Natural Language Processing , NLP , United States About JPMorgan Chase & Co. JPMorgan Chase & Co. provides innovative financial solutions for consumers, small businesses, corporations, governments, and institutions. Related Jobs Machine Learning Research Engineer•NLP / LLM
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