IBM Research/Research Software - Intern

Responsibilities

• • Contribute to ongoing research and development projects under the guidance of experienced mentors.
• • Work on real-world datasets, environments, and technical problems.
• • Develop solutions related to AI, data systems, automation, or quantum computing based on the selected internship area.
• • Explore and implement ideas from research papers.
• • Develop and test AI models, algorithms, or software solutions.
• • Participate in experiments and evaluate research results.
• • Support research activities involving AI agents, foundation models, data, or quantum algorithms.
• • Apply programming and problem-solving skills to current projects within IBM Research or the Software Innovation Lab.

Requirements

• • B.E. / B.Tech, M.E. / M.Tech, or Ph.D. qualification.
• • Minimum 70% or 7.0 CGPA in the pursuing degree.
• • Strong programming fundamentals in Python for AI-related roles.
• • Strong knowledge of Data Structures, Algorithms, and Problem Solving.
• • Understanding of Machine Learning and Deep Learning for AI-focused roles.
• • Knowledge of Python libraries such as Pandas and NumPy.
• • Familiarity with Git, VS Code, and Jupyter Notebooks.
• • Knowledge of AI frameworks such as PyTorch or TensorFlow where relevant to the selected role.
• • Understanding of Generative AI, Large Language Models, Transformers, NLP, or AI agents for AI-focused positions.
• • For Quantum Algorithms, knowledge of quantum computing fundamentals and strong Qiskit programming skills is required.
• • Ability to read, understand, and implement concepts from research papers.
• • Knowledge of Linear Algebra, Probability, and Statistics is relevant to the research areas.
• • Exposure to Docker, Kubernetes, OpenShift, Hugging Face, Triton, or AI accelerator technologies is beneficial for relevant AI roles.

Skills

Eligibility

• • B.E. / B.Tech candidates are eligible.
• • M.E. / M.Tech candidates, including Dual Degree students, are eligible.
• • Ph.D. candidates are eligible.
• • Minimum 70% or 7.0 CGPA in the pursuing degree is required.
• • Bachelor's degree is required.
• • Master's degree is preferred.
• • The internship is scheduled between May and August 2027.
• • Maximum internship duration is 3 months.
• • Candidates applying for the Quantum Algorithms role with strong prior experience in large-scale quantum computing demonstrations are encouraged to apply.
• • Research students, particularly senior Ph.D. candidates, receive preference for the Quantum Algorithms role.