Staff Software Engineer ML Inference Path
AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.
Maintainer signals as of 9/23/2026
Funding history
About Anthropic
Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design scalable ML infrastructure for real-time safety deployments, build monitoring and observability tools, and productionize safety research. You will optimize inference performance, implement automated testing and deployment safeguards, and develop internal tools that support safety research and deployment.
Requirements
- Python
- PyTorch, TensorFlow, or JAX
- Distributed systems
- High-throughput systems
- Low-latency systems
- Deployment pipeline
- Evaluation infrastructure
- A/B testing
- ML infrastructure
- AI safety
Responsibilities
- Design and build scalable ML infrastructure
- Build monitoring and observability tools
- Productionize safety research
- Optimize inference latency and throughput
- Implement automated testing, deployment, and rollback systems
- Partner with Safeguards, Security, and Alignment teams
- Develop internal tools and frameworks
Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours