Research Engineer, Pre-training at Anthropic

Anthropic is a public benefit corporation at the forefront of AI research, dedicated to creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society.

They are seeking a Research Engineer to join their Pre-training team, which is 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 entire stack from low-level optimizations to high-level model design.

Responsibilities
Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development.

Independently lead small research projects while collaborating on larger initiatives.

Design, run, and analyze scientific experiments to advance the understanding of large language models.

Optimize and scale the training infrastructure to improve efficiency and reliability.

Develop and improve developer tooling to enhance team productivity.

Requirements
Required Qualifications:

An advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field.

Strong software engineering skills with a proven track record of building complex systems.

Expertise in Python and experience with deep learning frameworks (PyTorch preferred).

Familiarity with large-scale machine learning, particularly in the context of language models.

Strong problem-solving skills and a results-oriented mindset.

Preferred Experience:

Work on high-performance, large-scale ML systems.

Familiarity with GPUs, Kubernetes, and OS internals.

Experience with language modeling using transformer architectures.

Knowledge of reinforcement learning techniques.

A background in large-scale ETL processes.