IBM Research/Research Software - Intern

About IBM IBM India since 1992 provides solutions and services spanning all major industries including financial services, healthcare, government, automotive, telecommunications and education, among others. As a trusted partner with wide-ranging service capabilities, IBM helps clients transform and succeed in challenging circumstances. The diversity and breadth of the entire IBM portfolio of research, consulting, solutions, services, systems and software, uniquely distinguishes IBM India 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 associated topics in Computer Science, Mathematical Sciences, and AI at its locations in Gurgaon and Bangalore. References Visible links 1. https://research.ibm.com/labs/india IBM Software Innovation Lab is the global IBM organization that executes the research agenda focused on next-generation data systems, agents and automation, and drives these innovations at scale 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 1. https://ibm.biz/ibmsilindia Software Innovation Lab Intern - AI & Data Summer Internship Program is one of the major activities under the University Relation Program. IBM Software Innovation Lab India offers Summer Internship to the bright students of leading technical Universities in India. IBM Software Innovation Lab 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. We are looking for a talented and highly motivated scientist / engineer to contribute to our research and development efforts across multiple frontiers of AI. The candidate will work on innovation projects that are grounded in real-world datasets, environments and problems while also pushing the state of the are in agentic AI technology 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, multi-modal foundation models and AI for software engineering. Research Intern - Quantum Algorithms 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. Research Intern - AI 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. 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 of agents, software stack for AI Accelerator cards, intersection of data and AI, and programmable language models. 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. 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 The Quantum Algorithm Engineering team collaborates with partners to produce state-of-art demonstrations on IBM Quantum hardware. The following are our expectations:
• Theoretical foundations in quantum computing. Algorithms like QAOA and sampling-based diagonalization algorithms that have scalable demonstrations on quantum computers of today.
• Strong coding skill in Qiskit
• Ability to read research papers on quantum algorithms and applications and implement their methodology Research students, especially senior PhDs, will be provided preference to this role. 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. 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. For eg., some among tensor networks, classical optimization (theory or SOTA heuristics), computational chemistry, classical machine learning, etc.
• 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 to 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 India Software Engineering Hybrid Internship Multiple Cities GURGAON Bangalore (0063) IBM India Private Limited Algorithms Artificial Intelligence Classical Data Structures Deep Learning Docker Engineering Git Java Machine Learning Mitigation Natural Language Processing Optimization Probability Theory Problem Solving Computer Programming Python Research Software Statistics Training Transformers Computational Chemistry Containerization Jupyter Notebook Coding Hardware Neural Networks NumPy Pandas Library PyTorch Tensorflow Unstructured Data Large Language Model OpenShift Quantum Computing Innovation Networks Microsoft Visual Studio Code Compilers Hugging Face LangChain Linear Algebra Qiskit Reinforcement Learning Unsupervised Learning Religious Vocation Language Models Knowledge Distillation