Responsibilities
- Lead full-cycle development by identifying and resolving critical infrastructure bottlenecks to support large-scale AI model deployment and empower high-impact research.
- Address intricate challenges in distributed computing across diverse AI accelerators and emerging hardware platforms deployed across multiple cloud environments.
Requirements
- Bachelor's degree in a relevant field or equivalent practical experience
Nice to Have
- Extensive background in building and managing high-performance, large-scale distributed systems
- Experience designing, implementing, and operating machine learning systems at scale
- Proficiency with load balancing, request routing, or traffic management solutions
- Knowledge of LLM inference optimization techniques including batching and caching
- Familiarity with Kubernetes and cloud infrastructure platforms such as AWS or GCP
- Programming experience in Python or Rust
Benefits
- Competitive salary and comprehensive benefits package
- Opportunity to match equity donations to eligible organizations
- Generous paid time off and parental leave policies
- Flexible scheduling to support work-life balance
- Well-designed office spaces that foster teamwork and creativity
Work Arrangement
Hybrid
Team
The organization is focused on developing AI systems that are safe, transparent, and aligned with human values. It brings together researchers, engineers, policy specialists, and leaders to advance beneficial AI through interdisciplinary collaboration and rigorous science.
How we're different
- We approach AI research as large-scale empirical science, similar to physics or biology, focusing on a few high-impact initiatives as one unified team. We prioritize progress toward trustworthy, steerable AI over isolated technical puzzles and emphasize collaboration, frequent discussion, and strong communication.
- Our research builds on prior work including GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Reading our published research is the best way to understand our current directions.
Come work with us!
This public benefit corporation is based in San Francisco and offers competitive pay, benefits, optional equity donation matching, generous leave policies, flexible hours, and inviting office spaces designed for collaboration. See our website for guidance on using AI during the application process.
Other
- There is no application deadline; submissions are reviewed continuously.
- Visa sponsorship is available with the same terms as stated elsewhere.
- For safety, only trust communications from @anthropic.com. Occasionally, approved recruiting partners may contact you on our behalf. Avoid clicking links in suspicious messages—verify openings directly at anthropic.com/careers.
Visa sponsorship is available for this role. While not all candidates or positions qualify, the company will make every reasonable effort to secure a visa for successful candidates and employs an immigration lawyer to assist in the process.
