IBM Research/Research Software - Intern
IBM · Posted Oct 23
Hybrid cloud, artificial intelligence, enterprise software, quantum computing, and IT consulting services
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About the role
IBM Research India and IBM Software Innovation Lab run summer internship programs that give students from leading technical universities industry experience on current lab projects, working alongside mentors. Research areas span agentic AI, foundation models and large language models, AI for IT automation, the intersection of data and AI, and quantum algorithms demonstrated on IBM Quantum hardware. Interns contribute to research and development projects grounded in real-world datasets and enterprise applications during a summer internship of up to three months.
What you will do
- During internship students work on current projects happening in the lab, they solve problems with the help of their mentors.
- 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.
- 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.
- The Quantum Algorithm Engineering team collaborates with partners to produce state-of-art demonstrations on IBM Quantum hardware.
- The internship will be conducted between May and August 2027, for a maximum duration of 3 months.
Skills used in this role
What the employer is looking for
- 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
- 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.
- 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
- Strong programming fundamentals in Python
- Solid understanding of Machine Learning and Deep Learning
- Familiarity with Large Language Models, Generative AI, Transformers and NLP
- 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 qualifications
- Experience working with platforms such as Watsonx.ai or similar
- Familiarity with risks associated with AI deployments, including agents going rogue.
- 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.
- 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
- 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
Benefits and support
- Compensation and benefits are detailed in the job posting
About IBM
International Business Machines Corporation (IBM) is a global technology and consulting company that provides hybrid cloud, artificial intelligence, and enterprise infrastructure solutions. Operating in over 175 countries, IBM helps businesses across industries modernize operations, secure data, and drive digital transformation through platforms like watsonx and Red Hat OpenShift. Founded over a century ago, the company remains a pioneer in high-performance computing, enterprise automation, and quantum technology.
- Industry
- Information Technology
- Company size
- 260,000+ employees
- Founded
- June 16, 1911
- Location
- Armonk, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $3.5B raised
- ·Post Ipo Debt$150M
Leadership
Chairman, President and Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President, Software and Chief Commercial Officer
Senior Vice President, IBM Consulting
Senior Vice President, Marketing and Communications
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