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Safety Engineer - Free Tier Abuse

ElevenLabs

Remote · Full Time

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Experience
6+ yrs
Salary
—
Openings
1
Posted
1 week ago
Work mode
Work from home
Resume
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Job description

About ElevenLabs

ElevenLabs is a pioneering AI research and product firm revolutionizing technology interaction with human-like AI voice models. Since its inception in January 2023, it supports millions of users and enterprise clients like Deutsche Telekom and Meta, backed by top-tier investors with $781M funding and a valuation of $11B.

Platforms and Culture

  • ElevenAgents: Platform enabling scalable voice and chat customer experience agents.
  • ElevenCreative: Tools for creators to generate and edit multimedia content in 70+ languages.
  • ElevenAPI: Developer access to AI audio foundational models.

ElevenLabs emphasizes rapid experimentation, minimal bureaucracy, AI-first mindset, a focus on impact over titles, and a global talent pool.

Employee Benefits

  • Innovative environment with generational AI impact opportunity.
  • Professional growth and diverse impact paths beyond immediate roles.
  • Annual discretionary stipends for learning, development, and social travel.
  • Annual global company retreats and co-working stipends for remote workers.

Role Overview

Seeking an AI Safety Engineer to spearhead the design and execution of automated moderation and protection systems focused on guarding against abuse of free-tier offerings. This role demands full ownership from system architecture through deployment and monitoring, bridging ML research with robust, scalable safety product infrastructure.

Key Responsibilities

  • Develop scalable backend abuse detection infrastructure integrating AI/ML models in production.
  • Design APIs, data pipelines, and service architecture for real-time and batch moderation workflows.
  • Implement monitoring, alerting, observability with defined SLIs, SLOs, and performance metrics.
  • Collaborate with ML engineers to transition research models into production-grade systems.
  • Lead technical decision-making to shape safety system roadmap focusing on scalability and precision.

Qualifications

  • Proven experience managing abuse detection, fraud prevention or fake account/bot mitigation at scale.
  • Over 6 years in backend software engineering, delivering scalable production systems.
  • Expertise in distributed systems, RESTful APIs, data pipelines and advanced Python development (including asynchronous frameworks).
  • Strong skills in cloud infrastructure (AWS/GCP), Docker, Kubernetes and CI/CD implementation.
  • Experienced in designing observable systems with monitoring tools like Prometheus and Grafana.
  • Track record in taking systems from concept to impactful production deployment, preferably including AI/ML components.

Desirable Skills

  • Background in Trust & Safety, content moderation or integrity engineering domains.
  • Familiarity with MLOps practices such as model deployment, monitoring, and versioning.
  • Experience with SQL, data analytics platforms, real-time streaming technologies (Kafka, Redis), and event-driven system architectures.
  • Knowledge of React or contemporary frontend frameworks is a bonus.

Location and Inclusion

This fully remote role welcomes candidates globally, with optional office presence in London, New York, San Francisco, or Warsaw. ElevenLabs is an equal opportunity employer committed to diversity and inclusion across all protected categories.

How they work

Teamwork & Collaboration Leadership Accountability
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