Research Scientist, Gemini Information Tasks at DeepMind

<h1>Research Scientist, Gemini Information Tasks</h1> <p>Mountain View, CA</p> <p><strong>Snapshot</strong></p> <p>We are looking for a research scientist who will drive research in Gemini for information tasks. The candidate will primarily work on post-training, but could potentially also work on model-external interventions.</p> <p><strong>About Us</strong></p> <p>Our team works on improving Gemini on tasks where users interact with the model to complete information journeys;&nbsp; this includes improving helpfulness and factuality of Gemini models.&nbsp; To this end, we have developed novel post-training innovations to improve the quality, groundedness and factuality of Gemini models in search on mode.&nbsp; Our work impacts product surfaces including AI Mode, Gemini App, AI Studio and Vertex AI.</p> <p><strong>The Role</strong></p> <p>In this role, we expect the candidate to work on improving Gemini for information tasks, focusing on quality of information-seeking responses (helpfulness, factuality, grounding, and other aspects). It is an opportunity to explore fundamental issues in modeling and data interventions for information-seeking scenarios, with very significant opportunities in shaping Google’s products in this space.</p> <p>Key responsibilities:</p> <ul> <li>Research on post-training (e.g., RL and SFT) for information-seeking scenarios in Gemini</li> <li>Research on novel evaluation methods for improving model quality, grounding and factuality</li> <li>Research on orchestration of tool calls, and improved retrieval methods, for information-seeking scenarios</li> </ul> <p><strong>About You</strong>&nbsp;</p> <p>In order to set you up for success as a&nbsp; at Google DeepMind,&nbsp; we look for the following skills and experience:</p> <ul> <li>PhD in a relevant area, or an equivalent research/publication record</li> <li>Number of years experience: anything from recent PhD onwards</li> <li>Strong software-engineering skills in addition to a research background</li> </ul> <p>In addition, the following would be an advantage:</p> <ul> <li>Experience in reinforcement learning</li> <li>Experience in post-training methods</li> <li>Experience in LLMs for information-seeking scenarios<br><br></li> </ul> <p>The US base salary range for this full-time position is between $147,000 USD - 211,000&nbsp; + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.</p> <p>Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our<a href="https://careers.google.com/privacy-policy/"> Applicant and Candidate Privacy Policy</a>.</p>