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RL Scaling Research Engineer at Anthropic - ApplyBlast

RL Scaling Research Engineer

Anthropic

25 days ago

3.7 on Glassdoor

New York City, New York, United States

Hybrid

Full Time

Senior

0 applicants

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About this role

This role focuses on scaling reinforcement learning for large language models, investigating how training and sampling efficiency change as models grow in size and compute increases. The position involves developing next-generation architectures and algorithms, transitioning small-scale results to frontier-scale runs, and building the experimental infrastructure to support rapid research iteration. The team works across research and engineering to optimize throughput, stability, and learning efficiency for Anthropic's largest AI training runs.

Responsibilities

Develop next-generation model architectures and reinforcement learning algorithms
Scale reinforcement learning training from small-scale results to frontier scale
Build experimental infrastructure to accelerate research velocity and iteration

Skills

About Anthropic

anthropic.com

Company Size

51-200 employees

View Profile

Anthropic is an AI safety and research company focused on building reliable, interpretable, and steerable AI systems. It develops large language models (branded as Claude) and offers APIs and enterprise products that let organizations integrate conversational AI with safety-focused controls, moderation, and privacy features. The company prioritizes interpretability and alignment research, publishes technical work, and engages with policymakers to reduce risks from advanced AI. Customers choose Anthropic for its safety-first approach, controllability tools, and research-driven models.