2026 Technology, Data, AI & Ventures Summer Internship Program - AI/ML Intern
Location Designation: Hybrid - 3 days per week
When you join New York Life, you’re joining a company that values career development, collaboration, innovation, and inclusiveness. We want employees to feel proud about being part of a company that is committed to doing the right thing. You’ll have the opportunity to grow your career while developing personally and professionally through various resources and programs. New York Life is a relationship-based company and appreciates how both virtual and in-person interactions support our culture.
Shape your future with a dynamic internship experience at New York Life. We offer opportunities across a variety of exciting businesses, including Actuarial, AI & Data, Finance, Investments, Technology, Underwriting, and more. Your internship journey is designed to challenge you through hands-on work experience that will equip you with valuable skills you can use anywhere. You will build your network through collaboration and connection with talented interns and experienced employees through team-building activities, mentorship programs, and fun social events. By the end of your internship, you'll be equipped with new skills and a network that will propel you forward in your career journey.
Program Overview:
Launch Your Career in a Technology, Data, and AI–Driven Organization with Purpose and Impact!
Join us as an AI/ML Summer Intern for an immersive 11-week experience where innovation, collaboration, and real-world impact intersect. As part of our dynamic Technology, Data, AI & Ventures department, you’ll gain hands-on exposure to cutting-edge projects that drive our digital transformation, while exploring potential career paths in AI, MLOps, and more!
Throughout the summer, you’ll deepen your technical skills, expand your professional network, and receive mentorship and guidance from experienced professionals and senior leaders. Our program combines meaningful project work with learning and development opportunities designed to prepare you for success beyond graduation.
You’ll connect with a diverse cohort of interns, collaborate on a team-based capstone project, and contribute to our commitment to social good by participating in our Volunteer for Good initiative. Whether you're building innovative solutions, leveraging AI and automation, or reimagining the future of work, you’ll play a vital role in helping us shape what’s next in technology.
This internship is more than just a summer job—it’s a steppingstone toward becoming a future-ready technology professional, with the opportunity to convert to a full-time role after graduation.
Program Overview:
Join our AI team for an exciting 11-week internship, where innovation meets real-world impact. This hands-on program offers a unique chance to work closely with stakeholders and contribute to business projects. Along the way, you’ll receive career mentorship, expand your professional network, and build your technical portfolio, all while learning alongside a dynamic group of peers.
Get ready for a summer that will inspire, challenge, and empower you in your career.
Team: AI
The AI team at New York Life comprises several distinct functions, including AI, AI Governance, and ML Operations. As an intern within one of these areas, you’ll collaborate with industry experts, harnessing advanced tools and techniques to develop transformative AI and GenAI solutions for New York Life.
Interns will join one of two key areas within the AI team:
AI & Generative AI: Focus on building and enhancing predictive modeling frameworks, harnessing advanced tools and techniques to develop transformative AI and GenAI solutions for New York Life. Potential summer projects include enhancing predictive modeling by integrating new data into a risk classification framework and developing a robust framework to evaluate the performance and value of various Generative AI tools. For instance, creating a question-and-answer tool tailored for agents and financial advisors to boost efficiency and streamline their workflow.
MLOps: You will support the development of New York Life’s machine learning operations. Example projects include researching new patterns for building and using models in Python APIs and improving the MLOps/DevOps platform through dashboards and alerts using performance monitoring tools like New Relic.
What You’ll Bring:
AI & Generative AI: Passion for data science and experience in predictive analytics, Generative AI tools, and digital health applications.
MLOps: A blend of technical expertise in Python, understanding of infrastructure and operational knowledge to support scalable AI solutions.
Required Skills:
AI & Generative AI: Graduate student pursuing a Master’s degree in Data Science, Artificial Intelligence, or a related field. Proficiency in Python, SQL, Machine Learning, and Generative AI.
MLOps: Graduate student pursuing a Master’s degree in Data Science, Artificial Intelligence, or a related field. Proficiency in Python, familiarity with APIs, and a solid understanding of automated testing and DevOps tools (e.g., EKS, CI/CD, New Relic).
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, this program is not available to those authorized to work under optional practical training (OPT) or curricular practical training (CPT).
Curious what it’s like to intern at NYL? Check out on LinkedIn!
#LI-CV1
#AICampus
Salary range: $30-35/hour + $3,000 housing stipend
Overtime eligible: Exempt
Discretionary bonus eligible: No
Sales bonus eligible: No
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation . We're proud that due to our mutuality, we operate in the best interests of our policy owners. We invite you to bring your talents to New York Life, so we can continue to help families and businesses “Be Good At Life.” To learn more, please visit LinkedIn , our Newsroom and the Careers page of .
Job Requisition ID: 92271
Recommended Jobs
Sales Associate Overnight (Convenience Store/Gas Station)
Job Description Job Description Overview: We are looking for Sales Associates at our Gas Station/Convenience Stores. Must Speak English, Experience is a must Growth opportunity Paid tr…
Sales Engineer- Critical Power
Advance your career with the Stark Tech team. We'll shape your future together! Stark Tech is a total optimization provider of facilities and energy solutions. Stark Tech leads the market in pro…
Service Manager
This restaurant is a fine dining southeast Asian restaurant. Service Manager Expectations: The Service Manager is responsible for aiding in the oversight of all operations. This position will b…
Weekend Assistant Producer, WNYC News (part-time)
Description Weekend Assistant Producer, WNYC News (part-time) Every day, the WNYC Newsroom seeks to deliver smart, enterprising news content to its various audiences with the goal of making New Yo…
CASHIER/FOOD SERVICE WORKER (FULL TIME)
We are hiring immediately for full time CASHIER/FOOD SERVICE WORKER positions. Location : Scarsdale UFSD - 2 Brewster Road, Scarsdale, NY 10583 Note: online applications accepted only . …
Senior Machine Learning Engineer
SeatGeek believes live events are powerful experiences that unite humans. With our technological savvy and fan-first attitude we’re simplifying and modernizing the ticketing industry. SeatGeek…
Integration Specialist
Advance your career with the Stark Tech team. We'll shape your future together! Stark Tech is a total optimization provider of facilities and energy solutions. Stark Tech leads the market in pro…
Department Manager
About us Zara offers the latest fashion trends for all. An international brand with stores in the main cities of the world and online. Our business model is centered in our customers, constantly adap…
Senior Product Manager - Advertising
We are looking for a passionate and experienced Senior Product Manager to help build and scale our advertising platform at Spotify. In this role, you’ll own the roadmap for our business management pl…
Machine Learning Engineer, Personalization
The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we’re a part of some of Spotify’s most-loved features. We build Responsible …