This job is closed
Applications are no longer available for this announcement. Explore current related opportunities below.
Job description
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
#J-18808-Ljbffr
Worksite address
jersey city, NJ, 07390, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.