Intern, AI Engineering at Workato in San Francisco, CA

Summary: Workato is a leader in enterprise orchestration, helping businesses globally streamline operations through its AI-powered platform. The role involves working on fundamental problems in LLM-based agentic systems and efficient AI infrastructure, with opportunities to publish research and impact production systems. Responsibilities: - Conduct original research on LLM agent architectures and optimization techniques - Develop and evaluate novel algorithms with both academic rigor and production feasibility - Present your work at internal research seminars and external conferences - Mentor and collaborate with LLM engineers on implementation and deployment Required Qualifications: - Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields - Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL) - Strong programming skills in Python and PyTorch - Ability to work in-person at our San Francisco office - Ability to work independently and collaborate across research and engineering teams Preferred Qualifications: - Experience with self-evolving agent systems - Proficiency in CUDA programming and custom kernel development for LLM operations - Background in reinforcement learning-based LLM fine-tuning - Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem - Experience bridging academic research with production systems - Open-source contributions to widely-used ML infrastructure projects Required Skills: Machine Learning, Natural Language Processing, Python, PyTorch, CUDA programming, Kernel development, Reinforcement Learning, LLM agent systems, LLM fine-tuning, LLM inference optimization, Academic research publication, Independent work