4 hours ago
Base Salary
$320k - $485k/yr
Responsibilities
- Build and operate Safeguards data platforms, including ingestion and processing pipelines, warehouses, data stores, schemas, and interfaces.
- Maintain day-to-day operation of Safeguards systems while reducing manual operational effort.
- Own data governance and integrity, including retention, access controls, privacy-preserving handling, lineage, and correctness guarantees.
- Design portable systems across AWS, GCP, Azure, customer-managed environments, and third-party environments.
- Partner with analysts, investigators, researchers, and operational teams to build internal tooling.
Requirements
- Proficiency in Python and SQL.
- Experience building and operating data pipelines or data stores in production.
- Ability to work across ingestion, storage, and consumption layers of the data stack.
- Strong written and verbal communication skills, including explaining technical tradeoffs to non-specialists.
- Extensive software engineering experience with significant time spent on data-intensive systems is preferred.
- Experience with integrity, spam, fraud, or abuse detection and mitigation is preferred.
- Experience building trust-and-safety detection and intervention mechanisms for AI or machine learning systems is preferred.
- Experience with large-scale distributed data infrastructure is preferred.
- Experience across multiple cloud providers or with provider-agnostic infrastructure is preferred.
- Experience meeting data governance requirements in regulated or high-sensitivity domains is preferred.
- Experience building custom internal tooling with operational teams is preferred.
- A bachelor’s degree or equivalent combination of education, training, and/or experience is required in a relevant field demonstrated through coursework, training, or professional experience.
Benefits
- Annual compensation is listed as $320,000–$485,000 USD.
- Hybrid policy currently expects staff to work from an office at least 25% of the time, with some roles requiring more office time.
- Visa sponsorship is available for some roles, with immigration-lawyer support.
- Benefits include competitive compensation, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.
About Anthropic
We're an AI research company that builds reliable, interpretable, and steerable AI systems. Our first product is Claude, an AI assistant for tasks at any scale. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.