ML/AI Engineering - Summer 2026 Intern

Join the fintech powerhouse redefining how the world invests in private markets. iCapital is a global leader in alternative investments, trusted by financial advisors, wealth managers, asset managers, and industry innovators worldwide. With $999.73 billion in assets serviced globally—including $272.1 billion in alternative platform assets—we empower over 3,000 wealth management firms and 118,000 financial professionals to deliver cutting-edge alternative investment solutions. 

This summer, become part of a dynamic team where your ideas matter. Make a meaningful impact, accelerate your professional growth, and help push the boundaries of what’s possible at the intersection of technology and finance. 

Key features of our Summer 2026 Internship: 

• Become a key member of the iCapital team, driving initiatives, contributing to projects, and potentially jumpstart your career with us after graduation.
• Immerse yourself in an inclusive company culture where we create a sense of belonging for everyone.
• Gain exclusive access to the AltsEdge Certificate Program, our award-winning alternative investments education curriculum for wealth managers.
• Attend recurring iLearn seminars and platform demos where you will learn the latest about our products.
• Participate in an intern team project, culminating in an end-of-summer presentation to a panel of senior executives.  
• Join senior executive speaker seminars that provide career development, guidance, and access to the leaders at iCapital. 

About the role:

iCapital's AI/ML team is developing cutting edge solutions to establish a unique competitive edge for the firm. We focused on leveraging pre-trained LLMs, working with large datasets, selecting appropriate algorithms and techniques, training or fine-tuning models to achieve optimal performance, and deploying and monitoring model performance in production. You will be working in a collaborative team environment across product management, data engineering, and software engineering teams. If you are passionate about leveraging machine learning techniques to drive innovation and have a strong background in developing scalable solutions, we would love to hear from you.

• Working with data scientists and other ML engineers on projects that apply cutting edge AI/ML solutions to business problems.
• Implementing ML service layer in production and deploy to our cloud infrastructure.
• Participating in data processing, model training, testing, evaluation, and monitoring with ML models.

Valued qualities and key skills:

• Experience with machine learning and application development
• Possesses a solid understanding of Agile development, object-oriented design, and programming languages
• Able to provide code examples of production ready code
• Experienced in Python
• Experience with modern cloud infrastructure is highly preferred
• Highly inquisitive, collaborative, and a creative problem solver
• Possesses foundational knowledge of and/or genuine interest in financial markets
• Able to thrive in a fast-paced environment
• Adaptable to take on new responsibilities and be detail oriented
• Strong verbal and written communication and technological skills

What we offer: 

• Outings with iCapital team members and fellow interns to build connections and grow your network.
• Corporate culture and volunteer activities in support of the communities where we live and work.
• Rooftop Happy Hours showcasing our impressive views of NYC. 

Eligibility: 

• A rising junior or senior in a U.S. college/university bachelor’s degree program
• Must be available to work the duration of the program from June 7th through August 8th to be eligible
• Committed to working five days a week in the New York City office for the entire duration of the internship
• Authorized to work in the United States*

*We are unable to offer any type of employment-based immigration sponsorship for this program  

Pay Rate: $53.00/hour + relocation stipend and transportation stipend 

iCapital in the Press: 

We are innovating at the intersection of technology and investment