职位1
Software Engineer Program - 2022 Summer Internship Opportunity
New York, NY/Chicago, IL/
Palo Alto, CA
Job ID: FL17731321
Summary
KEY RESPONSIBILITIES
  • Begin with an induction covering our tech strategies, products and systems, as well as an overview of our technology community.
  • Dive head-first and gain hands-on experience creating innovative solutions that make a difference for our customers, clients and employees.
  • Work on agile teams with peers and experienced software engineers to grow your skills, share ideas and innovate with our technology community all over the world.
  • Gain deeper insight into what it means to work here through networking events, senior speaker sessions and peer-mentorship programs.
BASIC QUALIFICATIONS
  • Computer Science and/or Engineering majors are preferred, while other majors may be considered
  • Pursuing a B.A., B.S. or 5th year M.A. or M.S. with expected graduation of December 2022 or June 2024
  • A well-rounded academic background with a preferred minimum cumulative GPA of 3.2
  • Foundational knowledge of programming languages (e.g., Python, Javascript, Java, C++, C#), databases, data structures, and algorithms
  • Relevant internship experience and/or leadership in school or community organizations
职位2
 Software Engineer Program -2022 Full Time Opportunity
New York, NY/Chicago, IL/
Palo Alto, CA
Job ID: FL17731322
Summary
KEY RESPONSIBILITIES
  • Start with an in-depth induction program that teaches you about our businesses, builds on your knowledge of development methodologies, and sharpens your professional skills.
  • Dive head-first into creating innovative solutions that make a difference for our customers, clients and employees.
  • Create and improve the design, analytics, coding and testing for high-quality software and new products.
  • Own projects end-to-end, keeping teams and stakeholders up to speed on the progress of what’s being developed.
  • Work and share ideas, information and innovation with our team of technologists from all over the world.
  • Develop through on-going training, mentorship and access to senior leaders.
  • Participate in our Force for Good program to develop real-life tech solutions for social good organizations while learning new skills and collaborating with our JPMorgan Chase tech experts. 
BASIC QUALIFICATIONS
  • Computer Science and/or Engineering majors are preferred while other majors may be considered
  • Pursuing a B.A., B.S. or 5th year M.A. or M.S. with expected graduation of August 2021 or June 2022
  • A well-rounded academic background with a preferred minimum GPA of 3.2
  • Foundational knowledge of programming languages (e.g., Python, Javascript, Java, C++, C#), databases, data structures and algorithms
  • Relevant internship experience and leadership in school or community organization
职位3
AI & Data Science 2022 Summer Analyst Program
New York, NY/Chicago, IL/
Palo Alto, CA
Job ID: FL17731323
Summary
KEY RESPONSIBILITIES

  • Delivering excellence at the intersection of data science, research and industry expertise, our AI, Machine Learning and Data Analytics teams go beyond where any bank has gone before.
  • Ask the questions and find the answers to create solutions and technology that help to solve the world's most pressing problems,
  • Improving and protecting our customer and client experiences every day.
  • Whether you’re working with artificial intelligence, big data, algo modelling, machine learning or robotics, our entrepreneurial team environment challenges you to push the limits of your expertise in the pursuit of impactful and commercial real-world applications.
BASIC QUALIFICATIONS
  • Pursuing a Bachelor’s or Master’s degree program in Science, Technology, Engineering, Mathematics (STEM) with an expected graduation of December 2022 - Summer 2023.
  • Knowledge of machine learning / data science theory, techniques and tools
  • Experience in mathematics and statistics modelling
  • Programming experience with one or more of Python, R, C++, Java, C#
  • Strong communication skills and the ability to present findings to a non-technical audience
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