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SWE: Toward Autonomous Data Management with AI Intern 2026

IBM

SWE: Toward Autonomous Data Management with AI Intern 2026

IBM

Cambridge, MA; Peekskill, NY

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Health, dental, and vision coverage

Top Tier compensation with equity

Parental leave program

Annual team offsites

Wellness benefits

Learning and development stipend

Required Skills

Apache Spark

SQL

Airflow

SWE: Toward Autonomous Data Management with AI Intern 2026

3+ months ago• Cambridge, MA (+1 more)
Peekskill, NY

Apply on company site

About Us

IBM researches, develops, manufactures, and markets technology products ranging from mainframe computers to cognitive solutions, always with a core drive to innovate and explore new fields.
Size: 10000+ employees

Industry: Technology

Introduction

IBM Research takes responsibility for technology and its role in society. Working in IBM Research means you'll join a team who invent what's next in computing, always choosing the big, urgent and mind-bending work that endures and shapes generations. Our passion for discovery, and excitement for defining the future of tech, is what builds our strong culture around solving problems for clients and seeing the real world impact that you can make.

IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.

Your role and responsibilities

We are looking for a talented and motivated intern to join our team and help build the next generation of autonomous data management systems. In this role, you will work with foundation models (FMs) and AI agents to make data systems smarter, easier to use, and more efficient.

Topics include but are not limited to:- Using large language models (LLMs) for code generation, such as writing SQL/NoSQL queries or Python code for analytics.

  • Exploring how knowledge graphs and multi-modal data can be combined with LLMs to improve data discovery and question answering.
  • Improving the performance and efficiency of AI model inference.
  • Building generative AI tools for DataOps (like DevOps, but for data engineering and analytics).

This internship is a great fit for students who are:

  • Pursuing an undergraduate degree or masters in computer science or a related field
  • Excited about AI, agentic AI, data systems, and software engineering
  • Comfortable with programming (Python, SQL, or similar languages)
  • Curious and eager to learn how AI can be applied to real-world data problems

Required education

High School Diploma/GED

Preferred education

Bachelor's Degree

Required technical and professional expertise

  • Pursuing education in computer science and related fields
  • Familiarity and working expertise with large language models

Preferred technical and professional experience

  • Familiarity with knowledge graphs, SQL, RAG, and agentic frameworks
  • Familiarity with reinforcement learning and AI planning
  • Familiarity with prompt optimization techniques

ABOUT BUSINESS UNIT:

IBM Research is the organic growth engine of IBM and an innovation engine for our customers and partners. As part of this mission, IBM Research anticipates and examines 'What's Next in Computing' to ultimately create and integrate the technologies the world relies upon to solve big challenges and unlock new opportunities. We create and pioneer new markets for IBM, our partners and customers as exemplified in our ongoing quest to reach practical and large-scale quantum computing. Across IBM Research, we realize the power and potential to accelerate discovery with our partners and clients by combining the power of high performance computing, AI, and Quantum, all integrated through the hybrid cloud.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

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Are you ready to be an IBMer?

ABOUT IBM

IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role.
We consider qualified applicants with criminal histories, consistent with applicable law.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Client-provided location(s): Cambridge, MA, Peekskill, NY

Job ID: IBM-58829

Employment Type: INTERN

Posted: 2025-10-15T18:52:40
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Perks and Benefits

Health and Wellness

Parental Benefits

Work Flexibility

Office Life and Perks

Vacation and Time Off

Financial and Retirement

Professional Development

Diversity and Inclusion

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About IBM

IBM

IBM

Public

An IT technology and consulting firm providing computer hardware, software, infrastructure, and hosting services.

10,001+

Employees

Armonk

Headquarters

Reviews

3.6

15 reviews

Work Life Balance

3.0

Compensation

2.5

Culture

2.0

Career

2.5

Management

2.0

25%

Recommend to a Friend

Pros

AI integration and innovation opportunities

International presence and scale

Entry-level hiring expansion planned

Cons

Frequent layoffs and job instability

Age discrimination concerns in layoffs

Lack of active work on some AI teams

Salary Ranges

4 data points

L3

L4

L5

L6

L7

L3 ·

0 reports

$127,855

total / year

Base

-

Stock

-

Bonus

-

$108,676

$147,034

Interview Experience

9 interviews

Difficulty

2.1

/ 5

Duration

14-28 weeks

Offer Rate

11%

Experience

Positive 0%

Neutral 89%

Negative 11%

Interview Process

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Interview

5

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience