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Job Description
The mission of the Digital Intelligence team is to leverage large-scale computation, substantial datasets, and machine learning to enhance our most crucial customer products across a broad spectrum. We manage a wide array of impactful products and services, reaching countless customers and households. We place high value on our customers' direct feedback and employ a truly agile methodology to incorporate improvements that enhance user experiences.
As a Machine Learning Engineer in the Digital Intelligence team, you will leverage large-scale computation, substantial datasets, and machine learning to enhance our most crucial customer products across a broad spectrum. Your expertise will promote the team to solve complex relevance and ranking problems, develop scalable features, and manage ML Ops for building innovative systems that benefit our customers across all lines of business.
Job Responsibilities:
* Oversee the analysis of complex datasets to inform decisions on real-world applications.
* Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
* Supervise data analysis activities and ensure effective visualizations are provided.
* Ensure the writing and deployment of software code in production systems is efficient and meets standards.
* Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
* Communicate complex issues clearly and credibly to senior management and stakeholders.
* Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.
Required qualifications, capabilities and skills:
* Master's degree in computer Science, Machine Learning, or a related field with 3 years experience OR Ph.D in computer Science, Machine Learning, or a related field with 1 year of experience.
* Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps, Gen AI, LLMs.
* Solid understanding of core CS concepts, including common data structures and algorithms.
Preferred qualifications, capabilities and skills:
* Experienced in conducting design and code reviews.
* Proficient in cloud environments such as AWS, GCP, or Azure.
* Experienced in managing and deriving insights from large, both unstructured and structured datasets.
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
The mission of the Digital Intelligence team is to leverage large-scale computation, substantial datasets, and machine learning to enhance our most crucial customer products across a broad spectrum. We manage a wide array of impactful products and services, reaching countless customers and households. We place high value on our customers' direct feedback and employ a truly agile methodology to incorporate improvements that enhance user experiences.
As a Machine Learning Engineer in the Digital Intelligence team, you will leverage large-scale computation, substantial datasets, and machine learning to enhance our most crucial customer products across a broad spectrum. Your expertise will promote the team to solve complex relevance and ranking problems, develop scalable features, and manage ML Ops for building innovative systems that benefit our customers across all lines of business.
Job Responsibilities:
* Oversee the analysis of complex datasets to inform decisions on real-world applications.
* Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
* Supervise data analysis activities and ensure effective visualizations are provided.
* Ensure the writing and deployment of software code in production systems is efficient and meets standards.
* Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
* Communicate complex issues clearly and credibly to senior management and stakeholders.
* Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.
Required qualifications, capabilities and skills:
* Master's degree in computer Science, Machine Learning, or a related field with 3 years experience OR Ph.D in computer Science, Machine Learning, or a related field with 1 year of experience.
* Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps, Gen AI, LLMs.
* Solid understanding of core CS concepts, including common data structures and algorithms.
Preferred qualifications, capabilities and skills:
* Experienced in conducting design and code reviews.
* Proficient in cloud environments such as AWS, GCP, or Azure.
* Experienced in managing and deriving insights from large, both unstructured and structured datasets.
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
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. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
JPMorganChase New York, New York, USA Office


270 Park Avenue, New York, NY, United States, 10017-2014
JPMorganChase New York, New York, USA Office
4 Metrotech Center, New York, NY, United States, 11201
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
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- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

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