Position Details
About this role
Build and improve AI training systems for reinforcement learning models at Anthropic, focusing on large-scale distributed infrastructure and algorithms.
Key Responsibilities
- Develop training algorithms
- Optimize training pipelines
- Build scalable AI infrastructure
- Support research teams
- Improve system robustness
Technical Overview
Developing AI/ML systems, reinforcement learning pipelines, and infrastructure for training large language models using Python and distributed computing.
Ideal Candidate
The ideal candidate is a software engineer with 4+ years of experience in AI systems, specializing in reinforcement learning and large-scale distributed training. They are proficient in Python and have a strong background in building scalable AI infrastructure to support research and production models.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Required
Preferred
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with large-scale distributed systems, No background in AI or machine learning, No proficiency in Python, Unable to work in specified locations
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