LLM Adapters for Agentic Workflows- MSC/PHD

Job Description

Job Title: LLM Adapters for Agentic Workflows - MSc/PhD Student Position - Research Lab. Location: Be'er Sheva, South District, Israel

Responsibilities:

• Work as part of an IBM Research team.

• Break customer agentic workflows into individual tasks and tools.

• Design specialized LLM adapters for specific tasks.
• Build datasets for adapter training, including:
  • Synthetic data generation
  • Data curation
  • Data labeling pipelines

• Train, fine-tune, and evaluate LLM adapters for security-related tasks.

• Develop benchmarks and evaluation methods to compare Granite Switch with large frontier models.
• Evaluate models based on:
  • Accuracy
  • Latency
  • Cost
  • Data privacy

• Build end-to-end proof-of-concept demonstrations showing how Granite Switch can solve customer problems.

• Analyze results and identify areas where adapters need improvement.

• Improve training data, adapter training, and adapter composition based on evaluation results.

• Present findings to research teams and customers;

• Contribute to technical publications, patents, and blog posts.

• Contribute code, adapters, and benchmarks to Granite Switch and related open-source projects, including vLLM and Hugging Face Transformers.

Qualifications:

• Currently pursuing an MSc or PhD in one of the following fields:
  • Computer Science
  • Software Engineering
  • Information Systems Engineering

• At least one year of studies remaining.

• A Bachelor's degree is listed as the required education.

• A Master's degree is listed as preferred education.

Preferred:

• Interest in AI and large language models (LLMs).

• Interest in data engineering.

• Interest or experience in cybersecurity.

• Experience working with AI coding agents.

• Experience using and contributing to open-source projects.

Benefits and Work Environment:

IBM Research offers an environment where students can:

• Work with experienced researchers and engineers.

• Gain hands-on experience with advanced AI technologies.

• Develop technical and professional skills.

• Contribute to research and practical technology projects;

• Collaborate with experts across AI, high-performance computing, quantum computing, and cloud technologies.

• Learn through experimentation, feedback, and collaboration.

• Develop their careers in an environment that encourages curiosity and innovation.

The job posting does not provide a specific salary or detailed compensation package.

Additional Information:

• IBM Research describes itself as an innovation engine focused on emerging technologies, including AI, high-performance computing, quantum computing, and hybrid cloud.

• The position is based at the IBM Research lab in Be'er Sheva, Israel.

• The work arrangement is hybrid.

• No travel is required.

• IBM is an equal opportunity employer and considers qualified applicants without discrimination based on legally protected characteristics.