Research Engineer, Anthropic

• Strong software engineering skills with experience in building distributed systems
• Expertise in Python and experience with distributed computing frameworks
• Deep understanding of cloud computing platforms and distributed systems architecture
• Experience with high-throughput, fault-tolerant system design
• Strong background in performance optimization and system scaling
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to work in a collaborative environment
• Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience

Desirable

• We are seeking a Research Engineer to join our Pretraining 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
• Design and implement high-performance ML training infrastructure for large language model research
• Develop and maintain core ML framework primitives in JAX, PyTorch, etc
• Create robust automated evaluation and benchmarking systems for model performance
• Implement comprehensive monitoring and debugging tools for ML workflows
• Design and optimize data loading pipelines that maximize training throughput
• Build MLOps tooling to support reproducible research and experimentation
• Collaborate with research teams to prototype and scale novel training architectures
• Develop infrastructure for efficient hyperparameter sweeps and architecture search