Intern, AI Engineering at Workato

<div class="content-intro"><h2><span style="color: rgb(8, 55, 99);"><strong>About Workato</strong></span></h2> <p><span style="color: rgb(8, 55, 99);">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 <span style="color: rgb(0, 212, 216);"><a style="color: rgb(0, 212, 216);" href="https://www.workato.com/" data-tooltip-link-label="undefined">workato.com</a>.</span></span></p> <h2><span style="color: rgb(8, 55, 99);"><strong>Why join us?</strong></span></h2> <p><span style="color: rgb(8, 55, 99);">Ultimately, Workato believes in fostering a <strong>flexible, trust-oriented culture that empowers everyone to take full ownership of their roles</strong>. We are driven by <strong>innovation </strong>and looking for<strong> team players </strong>who want to actively build our company.&nbsp;</span></p> <p><span style="color: rgb(8, 55, 99);">But, we also believe in <strong>balancing productivity with self-care</strong>. That’s why we offer all of our employees a vibrant and dynamic work environment <span style="color: rgb(0, 212, 216);"><a style="color: rgb(0, 212, 216);" href="http://www.workato.com/careers">along with a multitude of benefits</a></span> they can enjoy inside and outside of their work lives.&nbsp;</span></p> <p><span style="color: rgb(8, 55, 99);">If this sounds right up your alley, please submit an application. We look forward to getting to know you!</span></p> <p><span style="color: rgb(8, 55, 99);">Also, feel free to check out why:</span></p> <ul> <li style="color: rgb(8, 55, 99);"><span style="color: rgb(8, 55, 99);"><span style="color: rgb(0, 212, 216);"><a style="color: rgb(0, 212, 216);" href="https://www.businessinsider.com/47-enterprise-startups-to-bet-your-career-on-in-2020-2019-12">Business Insider</a></span> named us an “enterprise startup to bet your career on”</span></li> <li style="color: rgb(8, 55, 99);"><span style="color: rgb(8, 55, 99);"><span style="color: rgb(0, 212, 216);"><a style="color: rgb(0, 212, 216);" href="https://www.forbes.com/cloud100/#a57477b5f941">Forbes’ Cloud 100</a></span> recognized us as one of the top 100 private cloud companies in the world</span></li> <li style="color: rgb(8, 55, 99);"><span style="color: rgb(8, 55, 99);"><a style="color: rgb(8, 55, 99);" href="https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html"><span style="color: rgb(0, 212, 216);">Deloitte Tech Fast 500</span></a> ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America</span></li> <li style="color: rgb(8, 55, 99);"><span style="color: rgb(8, 55, 99);"><a style="color: rgb(8, 55, 99);" href="https://qz.com/work/2053446/the-best-companies-for-working-from-home/"><span style="color: rgb(0, 212, 216);">Quartz</span></a> ranked us the #1 best company for remote workers</span></li> </ul></div><h1><strong>Workato AI Lab</strong></h1> <h3><strong>About Workato AI Lab</strong></h3> <p>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.</p> <h1>Responsibilities</h1> <p>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. <br><br><span style="text-decoration: underline;"><strong>We are now filling intern positions for Winter 2026 and Spring 2027.&nbsp;</strong></span></p> <p><strong>Research Areas</strong></p> <ul> <li> <p><strong>LLM Agent Systems</strong>: Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks</p> </li> <li> <p><strong>Efficient LLM Fine-tuning</strong>: Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for large language models</p> </li> <li> <p><strong>High-Performance LLM Inference</strong>: Optimize inference pipelines through systems-level innovations, kernel development, and deployment strategies</p> </li> </ul> <h4>In this role, you will also be responsible to:</h4> <ul> <li> <p>Conduct original research on LLM agent architectures and optimization techniques</p> </li> <li> <p>Develop and evaluate novel algorithms with both academic rigor and production feasibility</p> </li> <li> <p>Present your work at internal research seminars and external conferences</p> </li> <li> <p>Mentor and collaborate with LLM&nbsp; engineers on implementation and deployment</p> </li> </ul> <h1><strong>Requirements</strong></h1> <h3><strong>Qualifications / Experience / Technical Skills</strong></h3> <ul> <li> <p>Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields</p> </li> <li> <p>Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL)</p> </li> <li> <p>Strong programming skills in Python and PyTorch</p> </li> <li> <p>Ability to work in-person at our San Francisco office</p> </li> <li> <p>Ability to work independently and collaborate across research and engineering teams</p> </li> </ul> <h3><strong>Preferred:</strong></h3> <ul> <li> <p>Experience with self-evolving agent systems</p> </li> <li> <p>Proficiency in CUDA programming and custom kernel development for LLM operations</p> </li> <li> <p>Background in reinforcement learning-based LLM fine-tuning&nbsp;</p> </li> <li> <p>Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem</p> </li> <li> <p>Experience bridging academic research with production systems</p> </li> <li> <p>Open-source contributions to widely-used ML infrastructure projects</p> </li> </ul> <p><strong>(REQ ID: 2690)</strong></p>