Position Details
About this role
Anthropic seeks a Machine Learning Infrastructure Engineer to develop and scale infrastructure supporting AI safety systems, focusing on reliability, performance, and safety-critical applications.
Key Responsibilities
- Design scalable ML infrastructure
- Build monitoring and observability tools
- Collaborate with research teams
- Optimize inference latency
- Implement automated testing and deployment
Technical Overview
The role involves building ML infrastructure with Python, ML frameworks, cloud platforms, and distributed systems, ensuring scalable, reliable, and safe AI model deployment and evaluation.
Ideal Candidate
The ideal candidate is a mid-level ML infrastructure engineer with over 5 years of experience building scalable, safety-critical AI systems. They are proficient in Python, ML frameworks, and cloud infrastructure, with a focus on reliability and impact in AI safety applications.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of experience in ML infrastructure, Lack of proficiency in Python or ML frameworks, No experience with cloud platforms or distributed systems, Disinterest in AI safety or societal impacts
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