IBM Research/Research Software - Intern

Introduction

About IBM

IBM India, since 1992, delivers solutions and services across major industries such as financial services, healthcare, government, automotive, telecommunications, and education, among others. As a trusted partner with broad service capabilities, IBM helps clients transform and succeed even in challenging circumstances. The diversity and extensive scope of IBM India’s portfolio—covering research, consulting, solutions, services, systems, and software—sets IBM India apart from other companies in the industry.

Business Unit Introduction

IBM Research - India ([1] https://research.ibm.com/labs/india) invites applications for its Internship Program in Quantum Computing and related topics in Computer Science, Mathematical Sciences, and AI at its locations in Gurgaon and Bangalore.

References

Visible links

• https://research.ibm.com/labs/india
  
  

IBM Software Innovation Lab is the worldwide IBM organization responsible for executing a research agenda focused on next-generation data systems, agents, and automation—and for scaling these innovations into IBM’s Software product portfolio.

IBM Software Innovation Lab - India ([1] https://ibm.biz/ibmsilindia) invites applications for its Internship Program in Next Generation Data, AI Agents and AI-driven automation at its locations in Gurgaon and Bangalore.

References

Visible links

• https://ibm.biz/ibmsilindia
  
  

Your Role And Responsibilities

Software Innovation Lab Intern - AI & Data

The Summer Internship Program is a key initiative under the University Relation Program. IBM Software Innovation Lab India offers summer internships to high-potential students from leading technical universities across India. Through this program, IBM Software Innovation Lab India provides hands-on industry exposure and world-class technologies to help students demonstrate their talent. During the internship, students work on active lab projects and address problems with guidance from their mentors. The goal is to provide industry experience to students and identify potential future employees.

We are seeking a talented, highly motivated scientist/engineer to support our research and development efforts across multiple frontiers of AI. The selected candidate will deliver innovation projects built around real-world datasets, environments, and challenges, while advancing the state-of-the-art in agentic AI technology with a specific focus on enterprise applications. Research areas include AI for IT automation, intersections of data and AI, agentic middleware and models, embedding and AI-based retrieval, time series foundation models, multi-modal foundation models, and AI for software engineering.

Research Intern - Quantum Algorithms

The Summer Internship Program is a key initiative under the University Relation Program. IBM Research India offers summer internships to high-potential students from leading technical universities across India. IBM Research India provides industry exposure and world-class technologies to help students demonstrate their talent. During the internship, students work on current lab projects, solve problems with support from their mentors, and gain industry experience with the objective of identifying potential future employees.

Research Intern - AI

The Summer Internship Program is a key initiative under the University Relation Program. IBM Research India offers summer internships to high-potential students from leading technical universities across India. IBM Research India provides industry exposure and world-class technologies to help students demonstrate their talent. During the internship, students work on current lab projects, solve problems with support from their mentors, and gain industry experience with the objective of identifying potential 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 operate with small language models, automated evolution of agents including testing and debugging of agents, software stack development for AI Accelerator cards, intersections of data and AI, and programmable language models.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

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 run between May and August 2027, for a maximum duration of 3 months.

Software Innovation Lab Intern - AI & Data

• Strong coding skills in Python (including Pandas, NumPy)
• Strong understanding of Data Structures, Algorithms, and Problem Solving
• Solid foundation in Linear Algebra, Probability, and Statistics
• Hands-on experience with VS Code, Jupyter Notebooks, and 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, and Large Language Models
• Familiarity with Generative AI frameworks such as langchain and crew.ai
• Expertise in unstructured data processing.
  
  

Research Intern - Quantum Algorithms

The Quantum Algorithm Engineering Team partners with collaborators to deliver state-of-the-art demonstrations on IBM Quantum hardware. The following are our expectations

• Theoretical foundations in quantum computing. Algorithms such as QAOA and sampling-based diagonalization algorithms that support scalable demonstrations on today’s quantum computers.
• Strong coding skills in Qiskit
• Ability to read research papers on quantum algorithms and applications and implement the associated methodology
  
  

Research students, particularly senior PhDs, will be given preference for this role. Applicants with strong prior experience in large-scale algorithm demonstrations on quantum computers are encouraged to apply.

Research Intern - AI

• 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: 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, interpret, and critically analyze research papers. Experience implementing ideas from research papers is highly desirable.
• Ability to reproduce research results and design-controlled experiments.
  
  

Preferred Technical And Professional Experience

Software Innovation Lab Intern - AI & Data

• Experience working with platforms such as Watsonx.ai or similar
• Familiarity with risks associated with AI deployments, including agents going rogue.
  
  

Research Intern - Quantum Algorithms

• Understanding of classical domain context relevant to the quantum application being worked on. For example: tensor networks, classical optimization (theory or SOTA heuristics), computational chemistry, classical machine learning, etc.
• Quantum circuit optimization and error mitigation algorithms, including implementations on Qiskit.
• Standard coding skills in Java/Python (including pandas, NumPy), Data Structures, Algorithms, Problem Solving, linear algebra, probability, and statistics, Experience with VS Code, Jupyter notebooks, Git
  
  

Research Intern - AI

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