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Introdução

At IBM Research, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk.

Sua Função e suas Responsabilidades

Do you want to work on cutting-edge topics in Generative AI, Agentic Systems, and their real-world applications?  

 

As an intern, you will join a dynamic team of top NLP researchers, tackling advanced challenges in the language domain. Your work will span a range of topics, including Retrieval-Augmented Generation (RAG), Agentic systems, Reasoning, Utilizing external tools, and evaluation of LLMs and generative AI applications (which includes addressing key aspects such as model safety, metrics, and benchmarks). 

 

Potential Internship Projects 

  • 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.

 

The exact research area and project scope will be defined towards the start of the internship. A successful outcome of your internship could result in a research paper submission to a leading AI or NLP conference.  

  

If you are a passionate student in AI, NLP, or machine learning, who enjoys innovating, solving real-world problems, and wants to work alongside top researchers on exciting challenges, your place is with us!  

  

Location: (both are possible) 

Haifa Research Lab (in the Haifa University Campus) 

IBM Site in Hashahar Tower , Givataym (Near Tel Aviv  Arlozorov train station) 


Our summer internship program offers you an opportunity to join our research team for a 3 months internship (working 5 days a week) in either Haifa or Tel Aviv sites (according to each internship). During the internship, you will be working with our talented researchers on top projects, helping create the next generation of AI, security, quantum, cloud and much more.

Formação requerida
Bacharelado
Formação preferencial
Mestrado
Experiência Profissional e Técnica Requerida
  • 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). Experience with agentic frameworks (e.g., LangGraph, CrewAI) is advantageous but not required
  • Strong team player with the ability to work independently
  • Innovative thinker, creative, and self-driven
  • Fluent in English


Please include your grade sheet with your application. 

Sobre a Unidade de Negócios

O IBM Research é o mecanismo de crescimento orgânico da IBM e um mecanismo de inovação para nossos clientes e parceiros. Como parte dessa missão, a IBM Research antecipa e examina o "What's Next in Computing" para criar e integrar as tecnologias com as quais o mundo conta para resolver grandes desafios e abrir novas oportunidades. Criamos e somos pioneiros em novos mercados para a IBM, nossos parceiros e clientes, como exemplificado em nossa busca contínua para alcançar a computação quântica prática e em larga escala. Em toda a IBM Research, percebemos o poder e o potencial de acelerar a descoberta com nossos parceiros e clientes, combinando o poder da computação de alto desempenho, IA e Quantum, tudo integrado por meio da nuvem híbrida.

SEU LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.


Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.


Are you ready to be an IBMer?

Sobre a IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.


Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. 


At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

Outros detalhes relevantes do cargo

For additional information about location requirements, please discuss with the recruiter following submission of your application.