Machine Learning Research Engineer

Anthropic is seeking a Machine Learning Research Engineer to join their mission of creating safe and beneficial AI systems. This role focuses on developing cutting-edge large language models with multimodal capabilities. You'll be part of a collaborative team working on state-of-the-art AI research, from infrastructure development to running large-scale training jobs.

The position requires someone passionate about AI safety and societal impact, with strong software engineering and research experience. You'll work on various aspects of the ML ecosystem, including model architecture, training infrastructure, and evaluation systems. The role involves hands-on work with advanced technologies like TPUs, GPUs, and modern ML frameworks.

Anthropic operates as a public benefit corporation, emphasizing big science approaches to AI research. The team works cohesively on large-scale research efforts, prioritizing impact and trustworthy AI development. The company values empirical approaches and draws parallels between their work and traditional sciences like physics and biology.

The collaborative environment includes frequent research discussions, flexible working arrangements, and a strong focus on communication skills. Anthropic offers comprehensive benefits and maintains a hybrid work model requiring at least 25% office presence in San Francisco. They actively encourage applications from diverse backgrounds and perspectives, recognizing the importance of representation in AI development.