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Elevenlabs

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Elevenlabs

Safety Engineer - Free Tier Abuse

ElevenLabs is hiring a Safety Engineer to focus on free tier abuse. The role covers putting automated moderation and guardrail systems into production and running them…

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Role Snapshot

Hiring Now
Work arrangement
Remote
Where applicants may be
Applicants in United States only
Salary
Not specified
Apply by
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Employment type
Full-time
Experience
Not specified
Published2h ago
Listing Views1
Applications0
Apply BeforeNo deadline

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About This Role

ElevenLabs is hiring a Safety Engineer to focus on free tier abuse. The role covers putting automated moderation and guardrail systems into production and running them day to day across a multimodal product range. The main focus is detecting and preventing abuse of the company's free plans, and the engineer owns the technical execution from architecture through deployment and monitoring. ElevenLabs works at the intersection of AI research and product…

Job Description

ElevenLabs is hiring a Safety Engineer to focus on free tier abuse. The role covers putting automated moderation and guardrail systems into production and running them day to day across a multimodal product range. The main focus is detecting and preventing abuse of the company's free plans, and the engineer owns the technical execution from architecture through deployment and monitoring.

ElevenLabs works at the intersection of AI research and product building. It launched in January 2023 and now counts millions of individual users and thousands of business customers. Its platforms include ElevenAgents, ElevenCreative and ElevenAPI, and the company says it has raised $781 million and was last valued at $22 billion.

The engineer builds backend systems that scale and can spot abuse, deploys AI and machine learning models into production, and designs APIs, data pipelines and services that support real-time and batch moderation. The job includes setting up monitoring, alerting and observability, including service-level indicators and objectives, and working with ML engineers to move research models into production systems. The engineer also helps set technical direction for future guardrails across the platform. Candidates should bring hands-on work with free-plan abuse, payments-style fraud or fake-account and bot-farm defense at scale, at least six years of backend engineering on production systems, and strong Python skills. Familiarity with AWS or GCP, Docker and Kubernetes, and monitoring tools such as Prometheus and Grafana is expected. The job is remote, can be done from any country, or from offices in Warsaw, London, New York or San Francisco.

Responsibilities

  • Build backend systems that scale and catch abuse, including putting AI and machine learning models into production
  • Design APIs, data pipelines and service layouts for real-time and batch moderation work
  • Set up monitoring, alerting and observability, with defined SLIs, SLOs and performance targets
  • Work with ML staff to move research models into live systems across the product range
  • Make key technical calls and help shape the path for next-generation guardrails

Requirements

  • Hands-on work with free-plan abuse, payments-style fraud, or fake accounts and bot networks at scale
  • Six or more years writing backend code for production systems that handle large volume
  • Production backend skills spanning distributed services, interfaces, streaming or batch pipelines and async Python
  • Working DevOps knowledge across AWS or GCP, Docker and Kubernetes, and CI/CD
  • Strong instinct for observability, with hands-on use of Prometheus and Grafana
  • A track record of taking systems from zero to one with measurable impact, including working with ML systems in production

Qualifications

  • Background in trust and safety, content policy enforcement or integrity engineering
  • MLOps experience, including deploying, monitoring and versioning ML models
  • Comfort with SQL and analytics software, plus Kafka, Redis or event-driven designs
  • Familiarity with React or other modern frontend frameworks

Core Skills

Benefits

  • Annual discretionary stipend for professional development
  • Annual discretionary stipend to meet colleagues in person
  • Annual company offsite in a new location each year
  • Monthly co-working stipend for those not near a main hub

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

Is the role remote?

Yes. The job is remote, can be done from any country, or from offices in Warsaw, London, New York or San Francisco.

Is a salary stated?

No. The posting does not state a salary or pay range.

How much experience is required?

The posting wants six or more years writing backend code for production systems, plus direct work on free-plan abuse, fraud or bot-farm problems at scale.

Is this an individual contributor or a leadership role?

The posting calls it a product ownership role covering technical execution of safety systems, from architecture through monitoring. It does not mention people management.

Sample Interview Questions

AI-generated questions tailored to this specific role — a preview of the full practice set.

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Posted by Elevenlabs

Source: Jobicy — UK

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Posted by employer: Not specified

Added to Jobsiz: Oct 13, 2026

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