Description
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.
About the role
The Inference team at Anthropic is responsible for building and maintaining critical systems that serve Claude to millions of users worldwide. You will design, build, and maintain distributed systems that serve Claude. The team has a dual mandate: maximising compute efficiency to reliably serve customer growth, while enabling breakthrough research by providing high-performance inference infrastructure for scientists to develop next-generation models.
Key Responsibilities
- Design, build, and maintain distributed systems serving Claude to millions of users worldwide
- Develop resilient, flexible systems adapting in real-time to real-world events
- Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators
- Maximise compute efficiency across the fleet by autoscaling and orchestrating production, research, and experimental workloads
- Build and operate production-grade deployment pipelines for releasing new models to users
- Provide high-performance inference infrastructure for researchers to develop next-generation models
- Integrate new AI accelerator platforms and support inference for new model architectures
Minimum Qualifications
- Significant software engineering experience, particularly with distributed systems
- Results-oriented with a bias towards flexibility and impact
- Willingness to pick up slack, even if it goes outside your job description
- Desire to learn more about machine learning systems and infrastructure
- Thrive in environments where technical excellence drives business results and research breakthroughs
- Care about the societal impacts of your work
Preferred Qualifications
- Experience with high-performance, large-scale distributed systems
- Experience implementing and deploying machine learning systems at scale
- Experience with load balancing, request routing, or traffic management systems
- Familiarity with LLM inference optimisation, batching, and caching strategies
- Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure)
- Proficiency in Python or Rust
Logistics
- Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
- Visa sponsorship: We do sponsor visas.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space.