LLM/NLP & Generalist AI Agents- MSc and PHD-Summer internship 2026- Research Lab
IBM
LLM/NLP & Generalist AI Agents- MSc and PHD-Summer internship 2026- Research Lab
Job Description
LLM/NLP & Generalist AI Agents- MSc and PHD-Summer internship 2026- Research Lab
📋 Job Overview
Join IBM Research to advance Generalist AI Agents, focusing on the CUGA project. As an intern, you will innovate, develop, and benchmark AI agents using advanced technologies like LLMs and reinforcement learning. Collaborate with cross-functional teams to drive innovation and publish research findings.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Internship
🎯 Key Responsibilities
- Design, develop, and refine cutting-edge AI agents and Agentic frameworks
- Conduct experiments on leading benchmarks like WebArena, AppWorld, and Tue-bench
- Curate datasets, fine-tune models, and create early-stage prototypes for web-based automation solutions
- Collaborate with cross-functional teams to publish findings and drive innovation
✅ Required Qualifications
- Currently pursuing a Master's or PhD degree in a relevant field
- Strong academic record (please include grade sheet with application)
🛠️ Required Skills
- Knowledge of Large Language Models (LLMs)
- Understanding of Reinforcement Learning
- Familiarity with Agentic AI
- Experience with natural language processing
- Model fine-tuning skills
- Interactive decision-making capabilities
- Semantic understanding of APIs, MCP tools, and web elements
- Advanced action planning
- Ability to work with cross-functional teams
- Research and publication skills
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in a thriving environment
- Growth-minded culture with openness to feedback and learning
- Opportunity to join a responsible technology innovator and force for good
Locations
- Multiple Locations, India (Remote)
Salary
Estimated Salary Rangemedium confidence
80,000 - 150,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Knowledge of Large Language Models (LLMs)intermediate
- Understanding of Reinforcement Learningintermediate
- Familiarity with Agentic AIintermediate
- Experience with natural language processingintermediate
- Model fine-tuning skillsintermediate
- Interactive decision-making capabilitiesintermediate
- Semantic understanding of APIs, MCP tools, and web elementsintermediate
- Advanced action planningintermediate
- Ability to work with cross-functional teamsintermediate
- Research and publication skillsintermediate
Required Qualifications
- Currently pursuing a Master's or PhD degree in a relevant field (experience)
- Strong academic record (please include grade sheet with application) (experience)
Responsibilities
- Design, develop, and refine cutting-edge AI agents and Agentic frameworks
- Conduct experiments on leading benchmarks like WebArena, AppWorld, and Tue-bench
- Curate datasets, fine-tune models, and create early-stage prototypes for web-based automation solutions
- Collaborate with cross-functional teams to publish findings and drive innovation
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in a thriving environment
- general: Growth-minded culture with openness to feedback and learning
- general: Opportunity to join a responsible technology innovator and force for good
Tags & Categories
LLM/NLP & Generalist AI Agents- MSc and PHD-Summer internship 2026- Research Lab
IBM
LLM/NLP & Generalist AI Agents- MSc and PHD-Summer internship 2026- Research Lab
Job Description
LLM/NLP & Generalist AI Agents- MSc and PHD-Summer internship 2026- Research Lab
📋 Job Overview
Join IBM Research to advance Generalist AI Agents, focusing on the CUGA project. As an intern, you will innovate, develop, and benchmark AI agents using advanced technologies like LLMs and reinforcement learning. Collaborate with cross-functional teams to drive innovation and publish research findings.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Internship
🎯 Key Responsibilities
- Design, develop, and refine cutting-edge AI agents and Agentic frameworks
- Conduct experiments on leading benchmarks like WebArena, AppWorld, and Tue-bench
- Curate datasets, fine-tune models, and create early-stage prototypes for web-based automation solutions
- Collaborate with cross-functional teams to publish findings and drive innovation
✅ Required Qualifications
- Currently pursuing a Master's or PhD degree in a relevant field
- Strong academic record (please include grade sheet with application)
🛠️ Required Skills
- Knowledge of Large Language Models (LLMs)
- Understanding of Reinforcement Learning
- Familiarity with Agentic AI
- Experience with natural language processing
- Model fine-tuning skills
- Interactive decision-making capabilities
- Semantic understanding of APIs, MCP tools, and web elements
- Advanced action planning
- Ability to work with cross-functional teams
- Research and publication skills
🎁 Benefits & Perks
- Opportunity to learn and develop career
- Encouragement to be courageous and experiment
- Continuous trust and support in a thriving environment
- Growth-minded culture with openness to feedback and learning
- Opportunity to join a responsible technology innovator and force for good
Locations
- Multiple Locations, India (Remote)
Salary
Estimated Salary Rangemedium confidence
80,000 - 150,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Knowledge of Large Language Models (LLMs)intermediate
- Understanding of Reinforcement Learningintermediate
- Familiarity with Agentic AIintermediate
- Experience with natural language processingintermediate
- Model fine-tuning skillsintermediate
- Interactive decision-making capabilitiesintermediate
- Semantic understanding of APIs, MCP tools, and web elementsintermediate
- Advanced action planningintermediate
- Ability to work with cross-functional teamsintermediate
- Research and publication skillsintermediate
Required Qualifications
- Currently pursuing a Master's or PhD degree in a relevant field (experience)
- Strong academic record (please include grade sheet with application) (experience)
Responsibilities
- Design, develop, and refine cutting-edge AI agents and Agentic frameworks
- Conduct experiments on leading benchmarks like WebArena, AppWorld, and Tue-bench
- Curate datasets, fine-tune models, and create early-stage prototypes for web-based automation solutions
- Collaborate with cross-functional teams to publish findings and drive innovation
Benefits
- general: Opportunity to learn and develop career
- general: Encouragement to be courageous and experiment
- general: Continuous trust and support in a thriving environment
- general: Growth-minded culture with openness to feedback and learning
- general: Opportunity to join a responsible technology innovator and force for good
Tags & Categories