Senior Machine Learning Engineer

Job Description

The Digital Intelligence team's mission is to utilize large-scale computation, true large-scale data set, and apply machine-learning to our most critical and wide-range customer products.

The number of products and practice areas is large and far-reaching, i.e. we work on products that are impactful to our millions and millions of customers and households.

We value our customers' direct feedback and function in a truly agile way to incorporate changes to improve application experience.

As a Senior Machine Learning Engineer in our Digital Intelligence team, you will have the opportunity to work on exciting end-to-end machine learning problems and solutions.

You will collaborate with us to solve large scale relevance and ranking problems, engineer scalable features, and engage in ML Ops work.

Together, we will build brand new systems that benefit our millions of customers across all lines of business.

Job Responsibilities :

• Lead complex projects that require cross-organizational alignment and collaboration
• Analyze complex datasets used to make decisions regarding real-world applications
• Investigate the applicability of new approaches to business problems and products by combining theory and experimentation
• Write software code that is built and deployed in production systems
• Anticipate and consider risks when building machine learning solutions and prediction / classification systems
• Communicate complex issues clearly and credibly to consult on and approve team decisions while driving broader organizational actions.
• Work transparently cross-functionally and influence your peers to do the same.

Required qualifications, capabilities and skills :

• Master's degree with 7 + years of experience of or Ph.D. in Computer Science or Machine Learning related degree with good internships and about 2 + years of work experience
• Expert in one or more of the following : machine learning, Graph learning, recommendation systems, network analysis, Natural language processing, Reinforcement learning, MLOps
• Comfortable conducting design and code reviews
• Experience with leadership of experienced scientists as well as a record of developing junior members from academia / industry to a career track in a business environment

Preferred qualifications, capabilities and skills :

• A strong technical advocate with a background in Java or Scala, and Python.
• Comfortable working in a cloud environment like AWS / GCP or Azure
• Passionate about working with large 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.