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Machine Learning Internship Opt Cpt information

What kinds of projects or tasks can a machine learning intern expect to work on during an internship?

As a Machine Learning intern, you can expect to be involved in projects such as data preprocessing, exploratory data analysis, model building, and performance evaluation. Interns often work with real datasets, contribute to feature engineering, and assist in deploying models or creating proof-of-concept solutions. Collaboration with data scientists, engineers, and sometimes product teams is common, providing valuable insights into real-world machine learning workflows. This hands-on experience helps interns build technical skills and gain exposure to best practices in the field.

What is a machine learning internship OPT CPT?

A Machine Learning Internship OPT CPT refers to an internship opportunity in the field of machine learning that is specifically available to international students in the U.S. on F-1 visas, who are eligible for Optional Practical Training (OPT) or Curricular Practical Training (CPT). These internships allow students to gain hands-on experience applying machine learning techniques in real-world projects while meeting their academic requirements or career goals. The roles typically involve tasks such as data analysis, building predictive models, and working with large datasets using programming languages like Python or R. OPT is usually used after graduation, while CPT is often part of the academic curriculum during the degree program.

What is the difference between Machine Learning Internship Opt Cpt vs Data Science Internship?

AspectMachine Learning Internship Opt CptData Science Internship
Required CredentialsTypically requires coursework or experience in machine learning, programming, and statisticsRequires knowledge in statistics, data analysis, and programming, often with a focus on data manipulation
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBroad industry sectors including finance, healthcare, tech, with data analysis focus
Employer & Industry UsageUsed by companies developing AI/ML products and servicesUsed across industries for data-driven decision making

While both internships involve working with data, the Machine Learning Internship Opt Cpt focuses on developing algorithms and models, whereas Data Science Internships emphasize data analysis and insights. Your choice depends on whether you want to specialize in machine learning techniques or broader data analysis tasks.

What are the key skills and qualifications needed to thrive as a machine learning intern OPT CPT?

To thrive as a Machine Learning Intern (OPT CPT), you need a solid background in computer science, mathematics, and statistics, often demonstrated by coursework or a related degree. Experience with programming languages like Python or R, familiarity with machine learning frameworks such as TensorFlow or scikit-learn, and understanding of data analysis tools are commonly required. Strong problem-solving abilities, curiosity, and effective teamwork and communication skills help interns stand out. These skills are crucial for successfully contributing to projects, learning from real-world data, and collaborating with multidisciplinary teams.

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Machine Learning Internship Opt Cpt jobs near you

2027 Data for Good Hackathon - Data & AI Program - Summer Internship

JPMorgan Chase & Co

Chicago, IL

Full-time

Posted 11 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description

Join Data for Good, a social impact hackathon hosted by JPMorganChase's Tech for Social Good team, where your analytical and coding skills can make a difference for nonprofit organizations. Discover if a career in financial services technology is your calling, as you unlock your potential with a dynamic team of innovative technologists.  Participating in Data for Good may also lead to an opportunity for you to learn more about and be considered for a 2027 Data & AI Program summer internship.

About the Program/Event

Tech for Social Good at JPMorganChase is focused on driving impact in our communities through the skills of our tech workforce. By attending Data for Good, you will collaborate with our expert Data and AI professionals to creatively address real-world challenges faced by nonprofit organizations, fostering innovation and impact. This experience offers you the chance to network with fellow aspiring Data and AI professionals across the country and engage with our recruiting teams, providing insight into data focused roles at JPMorganChase.  Over two days (Friday - Saturday), you and your team will analyse large, social good data sets and derive insights for a leading nonprofit organization, with travel expenses covered under certain conditions. 

As a Summer Analyst in the Data & AI Program at JPMorganChase, you'll drive impact by building end-to-end data, analytics, and artificial intelligence and machine learning solutions that translate business objectives into measurable outcomes for clients and customers. Working alongside global experts in agile teams, you will design scalable data platforms and pipelines, develop production-ready models, create intuitive dashboards, and ensure strong data governance, privacy, and compliance. 

Please note, to be considered for internship opportunities, Data for Good participants will be required to participate in the standard hiring process, including additional interview steps. Additional information, including application details, to be provided to Data for Good participants.

We will be filling our classes on a rolling basis. We strongly encourage you to submit your application as early as possible before job postings close. 

To be eligible for this program, you must be authorized to work in the U.S. We do not offer any type of employment-based immigration sponsorship for this program. Likewise, JPMorganChase, will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit including optional practical training (OPT) or curricular practical training (CPT.) 

Event Expectations

  • Own projects end-to-end, ensuring teams and stakeholders are informed about development progress.

  • Collaborate and share ideas, information, and innovation with our global team of technologists.

  • Develop skills through ongoing training, mentorship, and access to senior leaders.

  • Share data-driven recommendations and insights that impact our stakeholders.

  • Work on agile teams alongside peers and experienced data and AI professionals. 

Required qualifications, capabilities and skills

  • Pursuing a Bachelor's or Master's degree in a quantitative or technical discipline (e.g., Data Science, Machine Learning, Computer Science, or Mathematics).
  • Graduating between December 2027 and August 2028.
  • Authorized to work permanently in the United States.
  • Meeting the role requirement that no prior work experience is needed.

Preferred qualifications, capabilities and skills

  • Demonstrates strong knowledge of machine learning, data science principles, including prompt engineering, with experience handling large, complex datasets.
  • Use programming languages such as SQL and Python.
  • Use data & artificial intelligence tools (e.g., AWS, CoPilot, Snowflake, DataBricks, LLM).
  • Understand data management and governance, including data platforms, pipelines, models, taxonomies, metadata, lineage, privacy, and regulatory compliance.
  • Apply strong quantitative and analytical problem-solving skills to design experiments and deliver measurable outcomes (e.g., key performance indicators, uplift, return on investment).
  • Communicate clearly in writing and verbally to translate technical work for business stakeholders and collaborate across agile, cross-functional teams.
  • Translate business objectives into testable hypotheses and analytical plans, develops models and experiments, and communicates actionable recommendations to stakeholders.

This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorganChase's review of criminal conviction history, including pretrial diversions or program entries. 

Locations you may join:

  • Chicago, IL
  • Columbus, OH
  • Plano, TX 
  • New York Metro
  • Delaware Metro

Data for Good Hackathon Details:

  • Location: JPMorganChase's Brooklyn Office
  • Event Date: Friday, October 16th - Saturday, October 17th
  • Applications Close: Friday, 12:00am Eastern Time October 16th

Please, note the above locations are based on acceptance into the Data & AI Program summer internship program. The Hackathon will be held in Brooklyn, New York.

What's Next?

To be considered for the Data for Good Hackathon, you must complete the following steps:

  1. Please ensure read the Official Rules before you start this application.
  2. Help us learn about you by submitting a complete and thoughtful application, which includes your resume. Your application and resume is a way for us to initially get to know you, so it's important to complete all relevant application questions so we have as much information about you as possible.  
  3. On your application form, please select the JPMorganChase locations that you are most interested in learning about. Selected applicants will be invited to attend one of the hackathons with technologists and recruiters best matched to your work location preference.
  4. After you submit your application, we will review it to determine whether you meet certain required qualifications.
  5. Selected applicants will be notified via email with final event details.
  6. Attendees will need to bring their own laptops to the event.

JPMorganChase is committed to creating an inclusive work environment that respects all people for their unique skills, backgrounds and professional experiences. We will provide reasonable accommodations for applicants with disabilities.

Visit jpmorganchase.com/careers for upcoming events, career advice, our locations and more.

2026 JPMorgan Chase & Co. JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran 

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 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.

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