Opportunities from Anthropic Careers / Greenhouse

The role combines frontier research and practical engineering across model architecture, algorithms, data pipelines, optimizer development, scientific experimentation, distributed training infrastructure, fault tolerance and developer tooling. Anthropic states that staff are generally expected to be in an office at least 25% of the time. The posting also states that Anthropic sponsors visas, although sponsorship cannot be guaranteed for every role or candidate.

Anthropic seeks candidates with at least a bachelor's degree or equivalent relevant experience, strong software-engineering skills, Python and deep-learning expertise, and experience with large-scale machine-learning systems. The posting highlights model architecture, algorithms, data processing, optimizers, distributed training, ML accelerators, Kubernetes and large-scale data processing; an MS or PhD is preferred but not required.