Research Engineer: ML & RL for Safe, Scalable AI

Anthropic; New York (NY); On-site; USD 280,000 - 425,000; Full time

Benefits offered by this job

Competitive compensation

Flexible working hours

Generous vacation and parental leave

Job summary

A leading AI research organization seeks a Research Engineer to advance large language model capabilities and safety. This role blends research and engineering responsibilities, focusing on reinforcement learning, optimizing core infrastructure, and enhancing AI systems. Ideal candidates should be proficient in Python and have experience with machine learning tools such as PyTorch and TensorFlow. Competitive compensation offered in a hybrid work environment.

Qualifications

• Experience with machine learning research in an industry environment.
• Ability to balance research and engineering implementation.
• Passion for safe and beneficial AI systems.

Responsibilities

• Collaborate with researchers and engineers to advance AI safety.
• Implement novel approaches in reinforcement learning.
• Drive performance improvements across research workflows.

Skills

Proficient in Python

Async/concurrent programming

Machine learning frameworks (PyTorch, TensorFlow, JAX)

Strong systems design skills

Communication skills

Education

Bachelor’s degree in a related field

Tools

Kubernetes

Distributed systems

High-performance computing

Job description

A leading AI research organization seeks a Research Engineer to advance large language model capabilities and safety. This role blends research and engineering responsibilities, focusing on reinforcement learning, optimizing core infrastructure, and enhancing AI systems. Ideal candidates should be proficient in Python and have experience with machine learning tools such as PyTorch and TensorFlow. Competitive compensation offered in a hybrid work environment.