AI Researcher- MSc and PHD-Summer internship 2026- Research Lab
IBM
AI Researcher- MSc and PHD-Summer internship 2026- Research Lab
Job Description
AI Researcher- MSc and PHD-Summer internship 2026- Research Lab
📋 Job Overview
Join IBM's Research Lab as an AI Researcher intern in 2026, working on cutting-edge generative AI and agentic systems. You'll collaborate with top researchers on projects spanning LLM evaluation, customization, safety, and real-world applications. This internship offers the chance to innovate, solve complex challenges, and potentially publish research at leading AI conferences.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Internship
🎯 Key Responsibilities
- Research innovative methods for evaluating and testing LLMs and agentic systems in real-world scenarios
- Develop new approaches for customizing language models to specific tasks and domains, applying them to enterprise challenges
- Explore methods to enhance LLM reasoning capabilities
- Investigate ways to improve LLM safety and responsible responses
- Explore the value of Agentic RAG systems for different use-cases
- Investigate how to extend LLMs abilities on Math reasoning, Common sensing, Think, Plan, and Utilize external tools
- Create flexible frameworks for building and assessing generative AI solutions
- AI driven data security
✅ Required Qualifications
- PhD or MSc student in Machine Learning (preferably in NLP)
- Extensive, up-to-date knowledge of the LLM space
- Hands-on experience writing Python code and using LLM libraries (e.g., Huggingface Transformers, PyTorch)
- Strong team player with the ability to work independently
- Innovative thinker, creative, and self-driven
- Fluent in English
⭐ Preferred Qualifications
- Experience with agentic frameworks (e.g., LangGraph, CrewAI)
- Publication/s at top-tier peer-reviewed conferences or journals
🛠️ Required Skills
- Python
- Huggingface Transformers
- PyTorch
- LangGraph
- CrewAI
- Teamwork
- Independent work
- Innovative thinking
- Creativity
- Self-driven
- English fluency
🎁 Benefits & Perks
- Opportunity to learn and develop yourself and your career
- Encouragement to be courageous and experiment every day
- Continuous trust and support in an environment where everyone can thrive
- Growth-minded culture, always staying curious, open to feedback and learning new information and skills
- Trusted to provide on-going feedback to help other IBMers grow
- Collaborative environment with a team-focused approach
- Courage to make critical decisions every day
- Embracing challenges with resources at hand and a can-do attitude
- Outcome-focused approach within everything that is done
Locations
- Multiple Locations, India (Remote)
Salary
Estimated Salary Rangemedium confidence
500,000 - 800,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Huggingface Transformersintermediate
- PyTorchintermediate
- LangGraphintermediate
- CrewAIintermediate
- Teamworkintermediate
- Independent workintermediate
- Innovative thinkingintermediate
- Creativityintermediate
- Self-drivenintermediate
- English fluencyintermediate
Required Qualifications
- PhD or MSc student in Machine Learning (preferably in NLP) (experience)
- Extensive, up-to-date knowledge of the LLM space (experience)
- Hands-on experience writing Python code and using LLM libraries (e.g., Huggingface Transformers, PyTorch) (experience)
- Strong team player with the ability to work independently (experience)
- Innovative thinker, creative, and self-driven (experience)
- Fluent in English (experience)
Preferred Qualifications
- Experience with agentic frameworks (e.g., LangGraph, CrewAI) (experience)
- Publication/s at top-tier peer-reviewed conferences or journals (experience)
Responsibilities
- Research innovative methods for evaluating and testing LLMs and agentic systems in real-world scenarios
- Develop new approaches for customizing language models to specific tasks and domains, applying them to enterprise challenges
- Explore methods to enhance LLM reasoning capabilities
- Investigate ways to improve LLM safety and responsible responses
- Explore the value of Agentic RAG systems for different use-cases
- Investigate how to extend LLMs abilities on Math reasoning, Common sensing, Think, Plan, and Utilize external tools
- Create flexible frameworks for building and assessing generative AI solutions
- AI driven data security
Benefits
- general: Opportunity to learn and develop yourself and your career
- general: Encouragement to be courageous and experiment every day
- general: Continuous trust and support in an environment where everyone can thrive
- general: Growth-minded culture, always staying curious, open to feedback and learning new information and skills
- general: Trusted to provide on-going feedback to help other IBMers grow
- general: Collaborative environment with a team-focused approach
- general: Courage to make critical decisions every day
- general: Embracing challenges with resources at hand and a can-do attitude
- general: Outcome-focused approach within everything that is done
Tags & Categories
Answer 10 quick questions to check your fit for AI Researcher- MSc and PHD-Summer internship 2026- Research Lab @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
AI Researcher- MSc and PHD-Summer internship 2026- Research Lab
IBM
AI Researcher- MSc and PHD-Summer internship 2026- Research Lab
Job Description
AI Researcher- MSc and PHD-Summer internship 2026- Research Lab
📋 Job Overview
Join IBM's Research Lab as an AI Researcher intern in 2026, working on cutting-edge generative AI and agentic systems. You'll collaborate with top researchers on projects spanning LLM evaluation, customization, safety, and real-world applications. This internship offers the chance to innovate, solve complex challenges, and potentially publish research at leading AI conferences.
📍 Location: Multiple Locations (Remote/Hybrid)
💼 Career Level: Internship
🎯 Key Responsibilities
- Research innovative methods for evaluating and testing LLMs and agentic systems in real-world scenarios
- Develop new approaches for customizing language models to specific tasks and domains, applying them to enterprise challenges
- Explore methods to enhance LLM reasoning capabilities
- Investigate ways to improve LLM safety and responsible responses
- Explore the value of Agentic RAG systems for different use-cases
- Investigate how to extend LLMs abilities on Math reasoning, Common sensing, Think, Plan, and Utilize external tools
- Create flexible frameworks for building and assessing generative AI solutions
- AI driven data security
✅ Required Qualifications
- PhD or MSc student in Machine Learning (preferably in NLP)
- Extensive, up-to-date knowledge of the LLM space
- Hands-on experience writing Python code and using LLM libraries (e.g., Huggingface Transformers, PyTorch)
- Strong team player with the ability to work independently
- Innovative thinker, creative, and self-driven
- Fluent in English
⭐ Preferred Qualifications
- Experience with agentic frameworks (e.g., LangGraph, CrewAI)
- Publication/s at top-tier peer-reviewed conferences or journals
🛠️ Required Skills
- Python
- Huggingface Transformers
- PyTorch
- LangGraph
- CrewAI
- Teamwork
- Independent work
- Innovative thinking
- Creativity
- Self-driven
- English fluency
🎁 Benefits & Perks
- Opportunity to learn and develop yourself and your career
- Encouragement to be courageous and experiment every day
- Continuous trust and support in an environment where everyone can thrive
- Growth-minded culture, always staying curious, open to feedback and learning new information and skills
- Trusted to provide on-going feedback to help other IBMers grow
- Collaborative environment with a team-focused approach
- Courage to make critical decisions every day
- Embracing challenges with resources at hand and a can-do attitude
- Outcome-focused approach within everything that is done
Locations
- Multiple Locations, India (Remote)
Salary
Estimated Salary Rangemedium confidence
500,000 - 800,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Pythonintermediate
- Huggingface Transformersintermediate
- PyTorchintermediate
- LangGraphintermediate
- CrewAIintermediate
- Teamworkintermediate
- Independent workintermediate
- Innovative thinkingintermediate
- Creativityintermediate
- Self-drivenintermediate
- English fluencyintermediate
Required Qualifications
- PhD or MSc student in Machine Learning (preferably in NLP) (experience)
- Extensive, up-to-date knowledge of the LLM space (experience)
- Hands-on experience writing Python code and using LLM libraries (e.g., Huggingface Transformers, PyTorch) (experience)
- Strong team player with the ability to work independently (experience)
- Innovative thinker, creative, and self-driven (experience)
- Fluent in English (experience)
Preferred Qualifications
- Experience with agentic frameworks (e.g., LangGraph, CrewAI) (experience)
- Publication/s at top-tier peer-reviewed conferences or journals (experience)
Responsibilities
- Research innovative methods for evaluating and testing LLMs and agentic systems in real-world scenarios
- Develop new approaches for customizing language models to specific tasks and domains, applying them to enterprise challenges
- Explore methods to enhance LLM reasoning capabilities
- Investigate ways to improve LLM safety and responsible responses
- Explore the value of Agentic RAG systems for different use-cases
- Investigate how to extend LLMs abilities on Math reasoning, Common sensing, Think, Plan, and Utilize external tools
- Create flexible frameworks for building and assessing generative AI solutions
- AI driven data security
Benefits
- general: Opportunity to learn and develop yourself and your career
- general: Encouragement to be courageous and experiment every day
- general: Continuous trust and support in an environment where everyone can thrive
- general: Growth-minded culture, always staying curious, open to feedback and learning new information and skills
- general: Trusted to provide on-going feedback to help other IBMers grow
- general: Collaborative environment with a team-focused approach
- general: Courage to make critical decisions every day
- general: Embracing challenges with resources at hand and a can-do attitude
- general: Outcome-focused approach within everything that is done
Tags & Categories
Answer 10 quick questions to check your fit for AI Researcher- MSc and PHD-Summer internship 2026- Research Lab @ IBM.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs