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Development - AI/Data Science Intern

IBM

Software Engineering, Data Science

Austin, TX, USA · Delft, Netherlands

Posted on Mar 11, 2026

Introduction

At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world.

Your role and responsibilities

We're building an AI Agentic Platform that powers enterprise-grade analytics and financial intelligence products used by Fortune 500 companies. Our data engineering team operates at the cutting edge of AI/ML infrastructure — combining large-scale cloud data platforms, agentic AI frameworks, and applied machine learning to solve complex business problems. We're looking for an exceptional intern who brings both the mathematical rigor of a quantitative background and the engineering chops to build production-quality systems. This is a role for someone who doesn't just want to run models — they want to understand why they work, help architect the platforms that run them, and grow into a full-time engineer on a team that takes their craft seriously.

Required education

High School Diploma/GED

Preferred education

Bachelor's Degree

Required technical and professional expertise

Contribute to the design and development of AI agentic workflows using frameworks like watsonx Orchestrate, LangChain, and AWS Bedrock
Build and optimize data pipelines supporting ML model training, inference, andmonitoring in Snowflake and cloud-native environments
Apply statistical and mathematical concepts to evaluate model performance, data quality, and system behavior
Collaborate with data scientists, staff and principal engineers, and ML practitioners in an agile, sprint-based environment
Participate in architecture discussions and contribute to technical documentation and design reviews
Explore and prototype emerging AI tooling and help the team evaluate new capabilities against platform need
Pursuing or recently completed a degree that combines at least two of the following: Computer Science, Applied Mathematics, Statistics, or Data Science
A dual major, interdisciplinary program, or strong coursework blend across these domains is highly preferred — we want someone who can think in equations and write clean code
Strong Python skills — comfortable writing production-quality code, not just notebook scripts
Solid foundation in SQL and experience working with large datasets
Understanding of statistical modeling, probability, linear algebra, and optimization concepts
Exposure to machine learning frameworks (scikit-learn, PyTorch, TensorFlow, or similar)
Familiarity with cloud platforms — AWS experience preferred
Prior internship, research, or project experience in AI, data science, or ML engineering is strongly preferred
Demonstrated ability to take a problem from ambiguous to structured — whether through academic research, a Kaggle competition, an open-source contribution, or prior internship work
Experience working with real-world, messy data (not just clean classroom datasets) is a plus

Preferred technical and professional experience

• Familiarity with DevOps Tools: Exposure to DevOps tools and practices is beneficial for this role, allowing for smoother collaboration and automation in the software development lifecycle. • Knowledge of Front-End Development: Basic understanding of front-end development principles and exposure to front-end development frameworks can be advantageous in designing and delivering comprehensive software solutions. • Understanding of L3 Support Engineering: Interest in L3 support engineering and exposure to debugging techniques can be helpful in resolving complex customer-reported issues.

ABOUT BUSINESS UNIT

IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM’s AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM’s hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments—a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

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.

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.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

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.

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