Ai Research Engineer • Mid-Level

Who you are

You have a strong background in AI and machine learning, with experience in building and optimizing large-scale infrastructure systems. Your familiarity with language model training, evaluation, and inference allows you to contribute effectively to the development of AI systems. You are eager to dive into new areas and quickly become an expert in performance optimization and distributed systems.

You possess excellent problem-solving skills and can identify and resolve infrastructure bottlenecks that impede progress toward scientific capabilities. Your experience with VM/sandboxing/container deployment and large-scale data pipelines equips you to tackle complex challenges in AI development.

What you'll do

As a Research Engineer at Anthropic, you will design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments. You will work closely with a team of researchers and engineers to identify and address key infrastructure blockers on the path to achieving scientific AGI.

Your responsibilities will include developing robust evaluation frameworks for measuring progress toward scientific capabilities and ensuring that the infrastructure is scalable and performant. You will collaborate with cross-functional teams to push the frontiers of science and contribute to the mission of creating reliable and interpretable AI systems.

What we offer

Anthropic offers competitive compensation and benefits, including optional equity donation matching and generous vacation and parental leave. You will enjoy flexible working hours and a collaborative office environment in San Francisco, where you can work alongside committed researchers and engineers dedicated to building beneficial AI systems.