Research Intern - AI

Your role and responsibilities Summer Internship Program is one of the major activities under the University Relation Program. IBM Research India offers Summer Internship to the bright students of leading technical Universities in India. IBM Research India provides industry experience and world class technologies to these students to show their talent. During internship students work on current projects happening in the lab, they solve problems with the help of their mentors. Idea is to give industry experience to the students and look for future employees.

Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise

• Excellent coding skills in Python (including Pandas, NumPy)
• Strong grasp of Data Structures, Algorithms, Problem Solving
• Solid foundation in Linear Algebra, Probability, and Statistics
• Hands-on experience with VS Code, Jupyter Notebooks, Git
• AI/ML Fundamentals: supervised & unsupervised learning, classification, regression, neural networks, clustering
• Learning fundamentals and Data Manipulation/Analysis for large datasets
• Proficiency in AI libraries/frameworks: TensorFlow, PyTorch
• Experience in Deep Learning, Foundation Models, Large Language Models
• Familiar with Generative AI frameworks such as langchain and crew.ai
• Expertise in unstructured data processing
• Experience working with platforms such as Watsonx.ai or similar
• Familiarity with risks associated with AI deployments, including agents going rogue

We are looking for a talented and highly motivated engineer/scientist to contribute to our research and development efforts across multiple frontiers of AI. The candidate will work on creating efficient and scalable large language and foundation models, with a specific focus on enterprise applications. Areas of research include AI for IT automation, intersection of data and AI, agentic middleware and models, embedding and AI-based retrieval, time series foundation models, geospatial and multi-modal foundation models, GenAI security, AI for math and reasoning, and AI for software engineering.

Eligibility Criteria

• B.E. / B.Tech
• M.E. / M.Tech (including Dual Degree programs)
• Ph.D.
• Minimum 70% or 7.0 CGPA and above in the pursuing degree

Time Duration

The internship will be conducted between May 2026 to August 2026, for a maximum duration of 3 months.

Preferred technical and professional experience

• AI libraries/frameworks such as TensorFlow/PyTorch, Jupyter notebooks, Deep learning fundamentals, Data Manipulation and Analysis for large data, tools (pandas, NumPy), linear algebra, probability, statistics, Git, Containerization (Docker/Kubernetes/ Openshift)