Intern

Business Unit Introduction

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

Your Role And Responsibilities

• Software Innovation Lab Intern - AI & Data:
• Contribute to research and development efforts across multiple frontiers of AI.
• Work on innovation projects grounded in real-world datasets, environments, and problems.
• Push the state of the art in agentic AI technology with a specific focus on enterprise applications.
• Research areas include AI for IT automation, intersection 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:
• Work on current projects happening in the lab and solve problems with the help of mentors.
• Contribute to the theoretical foundations in quantum computing.
• Work with algorithms like QAOA and sampling-based diagonalization algorithms.
• Research Intern - AI:
• Contribute to research and development efforts across multiple frontiers of AI.
• 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.

Requirements & Tech Stack

• Software Innovation Lab Intern - AI & Data:
• 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.
• Research Intern - Quantum Algorithms:
• Theoretical foundations in quantum computing.
• Algorithms like QAOA and sampling-based diagonalization algorithms.
• Strong coding skill in Qiskit.
• Ability to read research papers on quantum algorithms and applications and implement their methodology.
• Preference given to research students, especially senior PhDs.
• Anyone 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, Git.
• Exposure to AI Accelerator software stack.
• Proficiency in AI libraries/frameworks: PyTorch.
• Exposure to AI Agents, tool use, function calling, 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.

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 background with respect to the quantum application being worked upon (e.g., tensor networks, classical optimization, computational chemistry, classical machine learning).
• Quantum circuit optimization and error mitigation algorithms, and their implementations on Qiskit.
• Standard coding skills in Java/Python (including pandas, NumPy), Data Structures, Algorithms, Problem Solving, linear algebra, probability, 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 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.

Qualifications

• 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 and August 2027, for a maximum duration of 3 months.