Intern, AI Engineering

<div class="content-intro"><h1><strong>About Workato</strong></h1> <p>Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.</p> <p>Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today’s fast-changing world. Learn how Workato helps businesses of all sizes achieve more at <a class="c-link c-link--underline" href="http://workato.com/" target="_blank" data-stringify-link="http://workato.com" data-sk="tooltip_parent">workato.com</a>.</p> <h1><strong>Why join us?</strong></h1> <p><span style="font-weight: 400;">Ultimately, Workato believes in fostering a </span><strong>flexible, trust-oriented culture that empowers everyone to take full ownership of their roles</strong><span style="font-weight: 400;">. We are driven by </span><strong>innovation </strong><span style="font-weight: 400;">and looking for</span><strong> team players </strong><span style="font-weight: 400;">who want to actively build our company.&nbsp;</span></p> <p><span style="font-weight: 400;">But, we also believe in </span><strong>balancing productivity with self-care</strong><span style="font-weight: 400;">. That’s why we offer all of our employees a vibrant and dynamic work environment </span><a href="http://www.workato.com/careers"><span style="font-weight: 400;">along with a multitude of benefits</span></a><span style="font-weight: 400;"> they can enjoy inside and outside of their work lives.&nbsp;</span></p> <p><span style="font-weight: 400;">If this sounds right up your alley, please submit an application. We look forward to getting to know you!</span></p> <p><span style="font-weight: 400;">Also, feel free to check out why:</span></p> <ul> <li style="font-weight: 400;"> <p><a href="https://www.businessinsider.com/47-enterprise-startups-to-bet-your-career-on-in-2020-2019-12"><span style="font-weight: 400;">Business Insider</span></a><span style="font-weight: 400;"> named us an “enterprise startup to bet your career on”</span></p> </li> <li style="font-weight: 400;"> <p><a href="https://www.forbes.com/cloud100/#a57477b5f941"><span style="font-weight: 400;">Forbes’ Cloud 100</span></a><span style="font-weight: 400;"> recognized us as one of the top 100 private cloud companies in the world</span></p> </li> <li style="font-weight: 400;"> <p><a href="https://www2.deloitte.com/us/en/pages/technology-media-and-telecommunications/articles/fast500-winners.html"><span style="font-weight: 400;">Deloitte Tech Fast 500</span></a><span style="font-weight: 400;"> ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America</span></p> </li> <li> <p><a href="https://qz.com/work/2053446/the-best-companies-for-working-from-home/"><span style="font-weight: 400;">Quartz</span></a><span style="font-weight: 400;"> ranked us the #1 best company for remote workers</span></p> </li> </ul></div><h1><strong>Responsibilities</strong></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.</p> <p><span style="font-weight: 400;">In this role, y</span><span style="font-weight: 400;">ou will also be responsible to:</span></p> <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: 2501)</strong></p>