Intern

About the Role

IBM Research - India and IBM Software Innovation Lab - India are offering internship programs in various exciting fields.

Key Responsibilities

• 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.
• Solve problems with the help of mentors on current projects.

Specific Focus Areas

• 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
• AI for software engineering
• 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
• Programmable language models
• Theoretical foundations in quantum computing, including algorithms like QAOA and sampling-based diagonalization.
• Collaborate with partners to produce state-of-the-art demonstrations on IBM Quantum Hardware.

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.

• Preferred: Experience working with platforms such as Watsonx.ai or similar.

• Preferred: Familiarity with risks associated with AI deployments, including agents going rogue.

• Research Intern - Quantum Algorithms:

• Strong coding skill in Qiskit

• Ability to read research papers on quantum algorithms and applications and implement their methodology.

• Preferred: 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).

• Preferred: Quantum circuit optimization and error mitigation algorithms, and their implementations on Qiskit.

• Preferred: Standard coding skills in Java/Python (including pandas, NumPy), Data Structures, Algorithms, Problem Solving, linear algebra, probability, statistics.

• Preferred: Experience with VS Code, Jupyter notebooks, Git.

• 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: Exposure to popular RL libraries and hands-on experience with RL training.

• Preferred: Familiarity with concepts on linear algebra, probability, statistics and to fundamentals of LLM models.

• Preferred: 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.
• Research students, especially senior PhDs, will be provided preference for the Quantum Algorithms role.
• Anyone with strong prior experience in large-scale algorithm demonstrations on quantum computers is encouraged to apply for the Quantum Algorithms role.

Internship Duration

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