<div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div></div><div>The Computers, Humans and AI (CHAI) team in the AIC at SRI International, Menlo Park, CA, USA, is looking for a motivated research and engineering intern to work on a project that uses Inverse Reinforcement Learning (IRL) to better understand the goals and strategies of human teams playing collaborative tasks in simulated environments. The internship will involve working closely with SRI staff and other partners on the project, providing hands-on exposure to state-of-the-art techniques and an opportunity to publish. <br><br>The intern will have the opportunity to go on-site if local to the Menlo Park office, but we are also open to someone working fully remotely.</div><div><br></div><div>Qualifications:<br><ul><li>Currently a graduate student in Computer Science, Electrical Engineering, or related field</li><li>Strong background in Artificial Intelligence and Machine Learning (ML), in particular (Inverse) Reinforcement Learning</li><li>Experience in programming in Python and familiarity with state-of-the-art ML tools</li><li>Knowledge in the areas of: learning and reasoning in Partially-Observable Markov Decision Processes (POMDPs), multiagent systems, or explainable AI (XAI), is considered a plus</li></ul><div><br></div><div>To apply, follow the instructions at:</div><div><a href="https://careers-sri.icims.com/jobs/4943/research-intern-in-ai/job" target="_blank">https://careers-sri.icims.com/jobs/4943/research-intern-in-ai/job</a></div><div><br></div><div>Pedro Sequeira<br><font size="1">PhD, Advanced Computer Scientist<br>SRI International<br>333 Ravenswood Avenue, Menlo Park, CA 94025</font></div></div></div>
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