about 4 hours ago
Base Salary
$405k - $485k/yr
Responsibilities
- Serve as launch captain for model releases by configuring and verifying safeguards and acting as the safeguards point of contact during release windows
- Own off-cycle deployment of new safety classifiers, including canary rollouts, post-deployment validation, and discrepancy investigation
- Verify safeguards across 1P, AWS Bedrock, GCP Vertex, and other deployment platforms while detecting and eliminating configuration drift
- Convert launch runbooks, manual checks, and one-off deployments into tooling, continuous validation, and repeatable pipelines
- Build and maintain a safeguards registry recording production deployments, models, platforms, deployment times, and responsible personnel
- Participate in on-call and operational-duty rotations for service incidents, model provisioning, and time-sensitive research and safety launches
Requirements
- Experience owning production change management at scale, including deployment pipelines, configuration management systems, or canary analysis
- Experience serving as a launch captain, incident commander, or release owner for high-stakes production systems
- Meaningful production on-call and incident-response experience, including postmortem-driven process and tooling improvements
- Hands-on experience deploying and operating on AWS and GCP at scale
- Proficiency in Python
- Rust experience is a plus but not required
- Bachelor’s degree in a relevant field or an equivalent combination of education, training, and/or experience
- Strong candidates may have 8+ years of industry software engineering or site reliability engineering experience
- Strong candidates may have experience reducing operational toil through automation and moving teams from manual deployment processes to self-serve pipelines
- Strong candidates may have experience running launch or production-readiness reviews across multiple teams
- Familiarity with LLM inference systems and the operational characteristics of transformer-based models is beneficial
Benefits
- Hybrid policy requiring staff to work from an office at least 25% of the time
- Visa sponsorship may be available, with immigration-lawyer support
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration
Tech Stack
Categories
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.