Machine Learning Engineer

SuprAIJobs; New York (NY); On-site; USD 120,000 - 190,000; Full time

Job summary

JPMorganChase in New York is seeking a Machine Learning Engineer to join the Digital Intelligence team. You will analyze large datasets, develop models, and deploy production ML solutions to support customer products in a fast-paced, agile environment.

The role requires advanced degree with several years of experience in ML, NLP, graph learning or related fields, and hands-on experience with cloud platforms. On-site in New York with competitive compensation and benefits.

Qualifications

• Master's degree in computer Science, Machine Learning or related field with 3 years of relevant experience; PhD 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.
• Solid understanding of core CS concepts, including common data structures and algorithms.

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.

Skills

Machine Learning

Graph learning

Recommendation systems

Natural Language Processing

Reinforcement learning

MLOps

CS fundamentals

Education

Master's degree in computer Science, Machine Learning or related field

PhD in computer Science, Machine Learning, or a related field

Tools

AWS

GCP

Azure

Job description

Back

Machine Learning Engineer

JPMorganChase

• USD 120K-190K
• Full Time
• New York
• On-site

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.

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 related field with 3 years of relevant experience 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.
• 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

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation which may be 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.

Equal Opportunity Employer/Disability/Veterans

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.