Staff ML Inference Platform Engineer

Anthropic Limited; San Francisco (CA); Híbrido; USD 320.000 - 485.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Equity donation matching (optional)

Generous vacation and parental leave

Flexible working hours

SF office space

Descripción de la vacante

Anthropic is hiring for a role in the Safeguards ML Inference Path team. You will design and operate production ML infrastructure powering Claude’s safety classifiers, collaborating closely with researchers and inference engineers to deploy new safety technologies at scale.

You’ll optimize latency, build monitoring and rollback systems, and help translate cutting-edge safety research into robust systems used across platforms including 1P, Bedrock, and Vertex.

Formación

• Bachelor’s degree or equivalent in a relevant field.
• Experience building production ML infrastructure.
• Ability to work across ML research and production teams.

Responsabilidades

• Design scalable ML infrastructure for real-time safety deployments.
• Build monitoring tools for classifier performance and data quality.
• Collaborate with research to productionize safety techniques.
• Optimize inference latency and throughput with high reliability.
• Implement automated testing, deployment, and rollback for ML models.
• Partner with Safeguards, Security and Alignment teams to meet safety needs.
• Contribute to internal tools and frameworks to accelerate safety research.

Conocimientos

Python

ML frameworks (PyTorch, TensorFlow, J@

Distributed systems

Automation of deployments

A/B testing

Reliability & safety

Collaboration with researchers

Educación

Bachelor’s degree or equivalent in a relevant field

Herramientas

Monitoring & observability tools

Experiment tracking/CI‑CD for ML

ML inference platforms

Descripción del empleo

Anthropic is hiring for a role in the Safeguards ML Inference Path team. You will design and operate production ML infrastructure powering Claude’s safety classifiers, collaborating closely with researchers and inference engineers to deploy new safety technologies at scale.

You’ll optimize latency, build monitoring and rollback systems, and help translate cutting-edge safety research into robust systems used across platforms including 1P, Bedrock, and Vertex.