Research Engineer, Gemini Post Training, NYC

<h1>Research Engineer in Gemini Post Training</h1><p>[New York, United States]</p><p>At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.</p><h2>Snapshot</h2><p>If you are interested in a career as a Research Engineer at Google DeepMind, and thrive on pushing boundaries and achieving ambitious goals, we’d love to hear from you.  Register your interest here and we'll reach out with relevant opportunities as they arise.</p><p>Please specify location preference(s) when submitting your details. </p><h2>About us</h2><p>Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.</p><h2>The role</h2><p>We are seeking a highly motivated and talented Research Engineers to join our team at the forefront of post training research in Gemini.  You will be working alongside a world-class team of researchers and engineers to develop and advance the next generation of frontier AI models.</p><h3>Key responsibilities</h3><ul><li><strong>Post-training for instruction following and tool use</strong>: Develop and apply methods to enhance the instruction following abilities of Gemini models targeting next-generation capabilities. This may include fine-tuning strategies, reinforcement learning techniques, or novel approaches to improve Gemini's ability to solve complex tasks, make decisions, and interact with dynamic environments.<br><br></li><li><strong>Develop and evaluate next-generation applications of GenAI</strong>:  Translate research findings into practical applications by building and evaluating prototypes that stretch instruction following model behaviors that affect user-facing scenarios.  Leverage learnings from such use cases and transform them into post training methods that can improve the Gemini model.</li></ul><h2>About you</h2><p>In order to set you up for success as a Research Engineering at Google DeepMind, we look for the following skills and experience:</p><ul><li>A degree in Computer Science, Statistics, or a related field</li><li>Expertise in one or more of the following areas: machine learning, natural language processing, computer vision, reinforcement learning</li></ul><p>In addition, the following would be an advantage: </p><ul><li>Experience with training, evaluating, or interpreting large language models</li><li>Proven ability to design and execute independent research projects</li><li>Excellent communication and collaboration skills</li><li>Extensive experience with deep learning frameworks (e.g. PyTorch, JAX) and large-scale model training.</li></ul><p>The US base salary range for this full-time position is between $215,000 - $250,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process.</p><p><strong>Application deadline:</strong> November 15th, 2024</p><p><span style="font-weight:400;">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>.</span></p>