Intern, AI Engineering

> > > >About Workato > > > > >Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit >workato.com >. > > > >Why join us? > > > >Ultimately, Workato believes in fostering a > >flexible, trust-oriented culture that empowers everyone to take full ownership of their roles > >. We are driven by > >innovation > >and looking for > > team players > >who want to actively build our company. > > > >But, we also believe in > >balancing productivity with self-care > >. That’s why we offer all of our employees a vibrant and dynamic work environment > > >along with a multitude of benefits > > > they can enjoy inside and outside of their work lives. > > > >If this sounds right up your alley, please submit an application. We look forward to getting to know you! > > > >Also, feel free to check out why: > > > > > > >Business Insider > > > named us an “enterprise startup to bet your career on” > > > > > > >Forbes’ Cloud 100 > > > recognized us as one of the top 100 private cloud companies in the world > > > > > > >Deloitte Tech Fast 500 > > > ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America > > > > > > >Quartz > > > ranked us the #1 best company for remote workers > > > > > > >Workato AI Lab > > > >About Workato AI Lab > > >Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems that transform how businesses automate and optimize their workflows. Our team bridges academic research with real-world applications, creating AI systems that serve millions of users across global enterprises. > >Responsibilities > >We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure, with opportunities to publish your research while making direct impact on production systems serving enterprise customers. > > > >We are now filling intern positions for Winter 2026 and Spring 2027. > > > > >Research Areas > > > > > >LLM Agent Systems >: Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks > > > > >Efficient LLM Fine-tuning >: Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for large language models > > > > >High-Performance LLM Inference >: Optimize inference p

Requirements Qualifications / Experience / Technical Skills • 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: • 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 (REQ ID: 2690)