Ever dreamed of turning cutting‑edge research into real‑world AI solutions? IBM Research India’s summer internship brings that dream to life, letting you dive into large language models, autonomous agents, and AI accelerator stacks from May to August 2027.
Company Overview & Mission
IBM Research India is the innovation engine behind IBM’s global portfolio, tackling challenges across finance, healthcare, telecom, and more. With a legacy of pioneering AI, quantum computing, and hybrid cloud solutions, the lab empowers students to collaborate on projects that shape the future of technology.
Key Responsibilities & Day‑to‑Day Impact
- Design and train large language models and small‑model agents.
- Implement agentic systems: tool use, function calling, and reasoning workflows.
- Contribute to the AI Accelerator software stack for high‑performance inference.
- Conduct research‑driven experiments, reproduce papers, and design controlled studies.
- Collaborate with senior scientists and cross‑functional teams in a fast‑paced environment.
Qualifications & Requirements
| Requirement | Details |
|---|---|
| Education | Bachelor’s (B.E./B.Tech) or Master’s (M.E./M.Tech) in Computer Science, Electrical Engineering, or related fields. Ph.D. candidates welcome. |
| GPA | Minimum 70% (or 7.0 CGPA) in the current program. |
| Technical Skills | Strong Python fundamentals, deep learning fundamentals, PyTorch, Jupyter, Git, VS Code. |
| AI Focus | Familiarity with LLMs, Transformers, Generative AI, and NLP. Experience with LoRA/PEFT, distillation, RLHF/RLAIF, or similar techniques is a plus. |
| Software Stack | Exposure to AI Accelerator architectures, Triton, Hugging Face, NCCL, and containerization (Docker/Kubernetes). |
| Research Aptitude | Ability to critically read research papers, implement novel ideas, and design reproducible experiments. |
| Experience | 0 years; ideal for students with coursework or projects in machine learning, statistics, or linear algebra. |
Compensation, Benefits & Work Culture
IBM Research India offers a competitive stipend for interns, along with access to top‑tier research facilities, mentorship from leading AI scientists, and opportunities to present findings at internal conferences. The work culture emphasizes continuous learning, experimentation, and collaboration across diverse teams—an environment where curiosity is rewarded and innovation thrives.
