Remote Backend Safety Engineer - ML Production & Guardrails

ElevenLabs; New York (NY); Remote; USD 160,000 - 260,000; Full time

Benefits offered by this job

Innovative culture

Growth paths

Learning & development

Social travel

Annual company offsite

Co-working

Job summary

ElevenLabs is hiring a backend-focused Safety Engineer to build scalable moderation and abuse-detection systems across our AI platforms. You will own production safety services and collaborate with ML engineers to deploy models at scale.

You’ll work remotely with a global team, shaping architectural decisions and ensuring reliable, high-quality safety infrastructure for ElevenLabs’ voice, text and media products.

Qualifications

• 5+ years of software engineering experience building and operating production systems.
• Strong backend engineering experience, including designing APIs, working with databases and building scalable services.
• Proficiency in Python and experience with modern backend frameworks.
• Experience building and maintaining distributed systems and cloud-based applications.
• Comfortable owning systems end to end, from technical design and implementation through deployment, monitoring and ongoing maintenance.
• Experience working across different parts of the stack, with the ability to build internal tools or frontend interfaces when needed.
• Strong problem‑solving skills and an ability to navigate ambiguous requirements and make pragmatic engineering decisions.
• Ability to collaborate effectively with engineers and non-technical stakeholders across different functions.

Responsibilities

• Build safety systems: design, develop, scale automated moderation systems, abuse detection capabilities, and guardrails for AI agents across ElevenLabs’ products.
• Respond to emerging threats: Partner closely with the Investigations team to identify emerging abuse patterns, understand evolving threats, and continuously improve existing safety systems, detection mechanisms, and guardrails to address new risks.
• Own production infrastructure: Build and maintain a growing ecosystem of internal safety services, taking ownership of their architecture, deployment, reliability, monitoring, and ongoing operation.
• Bring ML models into production: Partner closely with ML engineers to deploy and integrate fine-tuned and proprietary ML models into production safety systems, ensuring they operate reliably and efficiently at scale.
• Build end-to-end solutions: Develop backend services, APIs, internal tools and user-facing interfaces that enable effective moderation, safety operations and policy enforcement.
• Collaborate across teams: Work closely with Product, Legal and Safety Policy teams to translate business, regulatory and policy requirements into scalable engineering solutions.
• Shape our technical direction: Contribute to architectural decisions and help define how our safety infrastructure evolves as our products, users and safety challenges grow.

Skills

Backend engineering

Python

API design

Distributed systems

Cloud services

End-to-end ownership

Cross-functional collaboration

Tools

Kubernetes

Docker

CI/CD

AWS/GCP

Prometheus

Grafana

React

Job description

ElevenLabs is hiring a backend-focused Safety Engineer to build scalable moderation and abuse-detection systems across our AI platforms. You will own production safety services and collaborate with ML engineers to deploy models at scale.

You’ll work remotely with a global team, shaping architectural decisions and ensuring reliable, high-quality safety infrastructure for ElevenLabs’ voice, text and media products.