Research Engineer, Pretraining, DeepMind

Research Engineer, Pretraining, DeepMind DeepMind • New York, NY, USA Requirements Bachelor’s degree in Computer Science, Mathematics, Applied Statistics, Machine Learning, a related field, or equivalent practical experience. 5 years of experience with inference-optimized model design. Experience working with product teams. Preferred Qualifications Experience conducting applied research to improve the quality and training/serving efficiency of large transformer-based models. Experience with fine‑tuning large models (e.g., supervised, RLHF). About the Job At Google, research-focused Software Engineers are embedded throughout the company, allowing them to set up large-scale tests and deploy promising ideas quickly and broadly. Ideas may come from internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. You stay connected to your research roots as an active contributor to the wider research community by partnering with universities and publishing papers. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. The US base salary range for this full-time position is $174,000-$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Focus on inference-optimized model design for Gemini pretraining. Understand common XLA primitives and how JAX code runs on TPUs in practice. Work across the LLM preparation stack (e.g., pretraining, fine tuning, serving) to deliver strong models. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. #J-18808-Ljbffr Google Inc.