Intern, AI Engineering at Workato in San Francisco, CA

Summary: Workato is a leader in enterprise infrastructure, delivering innovative solutions that unify data, applications, processes, and AI. They are seeking exceptional graduate students to join their AI Lab as Research Interns, focusing on LLM-based agentic systems and efficient AI infrastructure while contributing to impactful research. 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 architectures, LLM fine-tuning, LLM inference optimization, Academic research publication, Independent work