Research Engineer, Science of Scaling

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><p class="p2"><strong>About the role</strong></p> <p class="p2">Anthropic is seeking a Research Engineer/Scientist to join the Science of Scaling team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. You'll contribute across the entire stack, from low-level optimizations to high-level algorithm and experimental design, balancing research goals with practical engineering constraints.</p> <p class="p2"><strong>Responsibilities:</strong></p> <ul class="ul1"> <li class="li2">Conduct research intro the science of converting compute into intelligence</li> <li class="li2">Independently lead small research projects while collaborating with team members on larger initiatives</li> <li class="li2">Design, run, and analyze scientific experiments to advance our understanding of large language models</li> <li class="li2">Optimize training infrastructure to improve efficiency and reliability</li> <li class="li2">Develop dev tooling to enhance team productivity</li> </ul> <p class="p2"><strong>You may be a good fit if you:</strong></p> <ul class="ul1"> <li class="li2">Have significant software engineering experience and a proven track record of building complex systems</li> <li class="li2">Hold an advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field</li> <li class="li2">Are proficient in Python and experienced with deep learning frameworks</li> <li clas