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Staff+ Software Engineer, ML Inference Path

Anthropic· Safeguards (Trust & Safety)
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SF$320k - $485kfull-timePosted 1mo ago

About the role

Role focused on designing, building, and operating production infrastructure for Claude's ML safety systems, enabling scalable, real-time safety evaluations across classifiers and models; collaborates with research and safety teams to productionize safety research and ensure reliability at scale.

Responsibilities

  • Design and build scalable ML infrastructure to support real-time safety deployments across our classifier and model ecosystem
  • Build monitoring and observability tools to track classifier performance, data quality, and system health for safety-critical applications
  • Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems
  • Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards
  • Implement automated testing, deployment, and rollback systems for ML models in production safety applications
  • Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs
  • Contribute to the development of internal tools and frameworks that accelerate safety research and deployment

Qualifications

  • Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX
  • Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads
  • Have built automated or self-service deployment pipelines and eval infrastructure allowing researchers to roll out classifiers and models independently
  • Have implemented A/B testing frameworks and experimentation infrastructure for ML systems
  • Are results-oriented, with a bias towards reliability and impact in safety-critical systems
  • Enjoy collaborating with researchers and translating cutting-edge research into production systems
  • Care deeply about AI safety and the societal impacts of your work

Skills

Required:PythonML frameworksDistributed systemsDeployment pipelines and eval infrastructureA/B testing / experimentation infrastructureCollaboration with researchAI safety

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Office space in San Francisco (onsite presence encouraged)
Last updated Sep 16, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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