Staff+ Site Reliability Engineer, Safeguards ML Infra
Anthropic · Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
Posted 12 days ago
or apply directly on Anthropic's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 12 days Anthropic's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- No 0% of Anthropic's roles list one
- Ghost-job risk at Anthropic
- high 276 stale, 19 reposted of 603 open
- Hiring momentum
- 795 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Anthropic's own greenhouse board since 2026-08-03. Full hiring picture for Anthropic.
About this role
In this role, you'll be part of the Safeguards ML Infra team, responsible for designing, building, and operating the production infrastructure that supports safety systems for AI model launches. Your day-to-day tasks will include configuring and verifying safeguards, managing deployments of safety classifiers, and automating processes to improve operational efficiency. You'll also participate in incident response and maintain a safeguards registry to track deployments across various platforms.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anthropic as an employer.
What you need
- Experience in production change management at scale
- Strong opinions about what 'verified' means in a production context
- Experience with high-stakes releases as a launch captain or incident commander
- Meaningful on-call experience for production systems
- Hands-on experience deploying and operating on cloud platforms (AWS, GCP) at scale
- Proficiency in Python
Nice to have
- 8+ years of industry software engineering or site reliability engineering experience
- History of reducing operational toil through automation
- Experience running launch or production-readiness review processes
- Familiarity with LLM inference systems and transformer-based models
What you get
- Competitive compensation
- Generous vacation and parental leave
- Flexible working hours
- Optional equity donation matching
- Lovely office space for collaboration
Worth weighing
- No specific mention of required educational background beyond a Bachelor's degree
- Visa sponsorship is available but not guaranteed for every role
- The role requires being in the office at least 25% of the time, which may not suit all candidates
Summarised from Anthropic's posting. Read the full original.
Listed by Anthropic on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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