ML Platform Engineer

Anthropic is building reliable, interpretable, and steerable AI systems. We are looking for an experienced ML Platform Engineer to join our growing infrastructure team. You will be instrumental in building and maintaining the systems that enable our world-class AI researchers and engineers to develop, train, and deploy cutting-edge models efficiently and safely. **Responsibilities:** - Design, build, and maintain scalable and robust ML infrastructure, including training, inference, and data pipelines. - Develop tools and frameworks to streamline the ML development lifecycle. - Optimize ML workloads for performance and cost-effectiveness on cloud platforms. - Implement best practices for MLOps, monitoring, and reliability. - Collaborate with research and engineering teams to understand their needs and provide effective solutions. **Minimum Qualifications:** - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - 4+ years of experience in software engineering or ML engineering. - Strong proficiency in Python and experience with cloud computing platforms (AWS, GCP, or Azure). - Experience with containerization technologies (e.g., Docker, Kubernetes). **Preferred Qualifications:** - Experience building and managing large-scale ML platforms. - Familiarity with ML frameworks like PyTorch or TensorFlow. - Experience with distributed training and data processing frameworks. **Benefits:** Anthropic offers competitive compensation, generous equity, comprehensive health insurance, parental leave, and a unique opportunity to work on impactful AI safety and research.