RLHF AI Systems Engineer — Train Next-Gen Models

Anthropic Limited; New York (NY); Hybride; USD 500 000 - 850 000; Plein temps

Résumé du poste

Anthropic Limited in the United States is seeking an ML Systems Engineer on the Reinforcement Learning Engineering team to own critical algorithms and infrastructure for training AI models such as Claude. You will build, maintain, and improve RL systems to boost speed, reliability, and usability, enabling researchers to push boundaries while ensuring safety and scalability.

You will collaborate with researchers and engineers, drive systems improvements, and help scale production training

Qualifications

• 4+ years of software engineering experience.
• Like working on systems and tools that make other people more productive.
• Are results-oriented, with a bias towards flexibility and impact.

Responsabilités

• Build, maintain, and improve the algorithms and systems that researchers use to train models.
• Improve the speed, reliability, and ease-of-use of these systems.
• Support and empower the research team to progress AI capabilities safely.

Connaissances

Software engineering

Pair programming

ML systems

Formation

Bachelor's degree

Outils

Python

Description du poste

Anthropic Limited in the United States is seeking an ML Systems Engineer on the Reinforcement Learning Engineering team to own critical algorithms and infrastructure for training AI models such as Claude. You will build, maintain, and improve RL systems to boost speed, reliability, and usability, enabling researchers to push boundaries while ensuring safety and scalability.

You will collaborate with researchers and engineers, drive systems improvements, and help scale production training