LLM Evaluation and Analysis Research Intern - 2026(m/w/x)

As an LLM Evaluation and Analysis Research Intern, you will explore innovative methodologies for assessing deep learning models, collaborating with a talented team to improve model accuracy and efficiency in a rapidly evolving AI landscape.

Anforderungen

• •Enrollment in a PhD program in Computer Science, AI, Applied Math, or related field
• •Publication record in venues like NeurIPS, ICML, ICLR, AAAI, FAccT, ACL
• •Strong problem-solving, debugging, performance analysis, test design, and documentation skills
• •Solid mathematical foundations and expertise in AI/DL algorithms
• •Hands-on experience with Deep Learning frameworks (e.g. PyTorch, TensorFlow)
• •Excellent written and verbal communication skills
• •Experience on research topics relevant to model and agent evaluation, failure analysis, interpretability, reasoning efficiency, benchmark creation, safety and robustness
• •Experience in accuracy and token efficiency evaluation of LLMs and agentic systems
• •Hands-on experience with inference and deployment environments like TensorRT, vLLM, SGLang, ONNX, or Triton
• •Experience with running workloads in high-performance computing (HPC) and cloud clusters