Your role and responsibilities

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 help advance our effort on creating the most efficient large language models, with a specific focus on creating value for Enterprises. The candidate will be responsible for training, finetuning and inference of language models, developing prototype solutions to real-world problems, working closely with IBM Infrastructure teams, and IBM scientists in a flexible and fun environment.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

Excellent coding skills in Java/Python (including pandas, NumPy), Data Structures, Algorithms, Problem Solving, linear algebra, probability, statistics, Experience with VS Code, Jupyter notebooks, Git

Subareas:

1. Qiskit development: 
   1. open source development and software engineering
   2. coding skill in Qiskit
   3. coding experience in Rust
   4. good to have: foundations in quantum computing, graph theory, probability
2. AI for Quantum:
   1. hands-on skill in large language models, agentic AI and reinforcement learning frameworks or workflows
   2. familiarity with machine learning model development and data science
   3. deployment and engineering of AI solutions
3. Quantum algorithm and engineering: 
   1. theoretical foundation in quantum computing including QAOA 
   2. coding skill in Qiskit 
   3. ability to read a paper and implement its methodology 
   4. good to have: understanding of tensor networks
4. Services, infrastructure and reliability
   1. knowledge of Kubernetes, CI/CD, IaC, GitOps, linux and open source contributions
   2. experience with IAM, RBAC, encryption, secret management and CNCF tools 
   3. familiarity with building services in NodeJS / Typescript / Python, and Vector DBs or bot development