Research Intern - AI at IBM | Summer Internship 2027

About IBM

IBM India, operating since 1992, provides solutions and services across major industries including financial services, healthcare, government, automotive, telecommunications, and education. As a trusted partner with wide-ranging service capabilities, IBM helps clients transform and succeed in challenging circumstances. The diversity and breadth of IBM's entire portfolio of research, consulting, solutions, services, systems, and software uniquely distinguishes IBM India in the industry.

Business Unit Introduction

IBM Research India invites applications for its Internship Program in Artificial Intelligence and associated topics in Computer Science and Mathematical Sciences at its locations in Gurgaon and Bangalore. The Summer Internship Program is a major activity under the University Relations Program, offering bright students from leading technical universities in India the opportunity to gain industry experience and work with world-class technologies. During the internship, students work on current lab projects, solving problems with the guidance of mentors. The goal is to provide industry experience and identify future employees.

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 one or more research areas: building and scaling large language models, agentic systems that work with small language models, auto evolution of agents including testing and debugging, software stack for AI Accelerator cards, intersection of data and AI, and programmable language models.

Skills Required

• Strong programming fundamentals in Python
• Solid understanding of Machine Learning and Deep Learning
• Familiarity with Large Language Models, Generative AI, Transformers, and NLP
• Hands-on experience with VS Code, Jupyter Notebooks, and Git
• Exposure to AI Accelerator software stack
• Proficiency in AI libraries/frameworks, including PyTorch
• Exposure to AI Agents, tool use, function calling, and reasoning models
• Familiarity with techniques such as LoRA/PEFT, knowledge distillation, reinforcement learning, or RLHF/RLAIF is desirable
• Ability to read, understand, and critically analyze research papers
• Experience implementing ideas from research papers is highly desirable
• Ability to reproduce research results and design controlled experiments

Eligibility Criteria

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

Time Duration

The internship will be conducted between May and August 2027, for a maximum duration of 3 months.

Exposure to popular RL libraries and hands-on experience with RL training. Familiarity with concepts in linear algebra, probability, statistics, and fundamentals of LLM models. Git, Containerization (Docker/Kubernetes/OpenShift), Exposure to Triton and Hugging Face, Exposure to AI Accelerator software stack, Familiarity with AI Accelerator architectures, NCCL, and compilers.