Safety Engineer (Backnd Leaning)
ElevenLabs · Remote · United Kingdom · Dublin · Tokyo · United States · New York · Los Angeles · Poland · London · Boston · San Francisco · Washington, D.C. ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote (Global)
- Python + Backend
- AI Safety focus
- Senior level
- High-growth startup
Join ElevenLabs to design and scale automated moderation systems, abuse detection capabilities, and guardrails for AI agents. You will own the architecture and reliability of internal safety services while partnering with ML engineers to deploy models into production.
The team collaborates closely with Product, Legal, and Safety Policy groups to translate regulatory requirements into practical engineering solutions. This position focuses on building end-to-end backend services and tools that ensure platform safety without compromising user experience.
What you'll do
- Design and scale automated moderation systems and abuse detection guardrails
- Partner with Investigations to identify emerging threats and improve detection
- Own architecture, deployment, and reliability of internal safety services
- Integrate fine-tuned ML models into production safety systems at scale
- Develop backend services, APIs, and internal tools for policy enforcement
- Translate legal and regulatory requirements into scalable engineering solutions
- Contribute to architectural decisions for evolving safety infrastructure
What you'll need
- 5+ years of software engineering experience with production systems
- Strong backend skills including API design and database management
- Proficiency in Python and modern backend frameworks
- Experience building and maintaining distributed cloud-based applications
- Ability to own systems from design through deployment and monitoring
- Comfortable working across the stack, including basic frontend tasks
- Strong problem-solving skills for ambiguous requirements
Nice to have
- Experience in Trust & Safety, fraud detection, or content moderation
- Background in building guardrails for AI agents or LLM applications
- Experience deploying ML models into production environments
- Familiarity with Kubernetes, Docker, CI/CD, and AWS or GCP
- Knowledge of monitoring tools like Prometheus and Grafana
- Experience with React or other modern frontend frameworks
- Background in real-time data processing using Kafka or Redis
Stack
- Python
- Kubernetes
- Docker
- AWS
- GCP
- Prometheus
- Grafana
- React
- Kafka
- Redis
How you'll work
- Fully remote position available globally
- Optional office access in London, New York, San Francisco, Warsaw
- Minimal bureaucracy with lean autonomous teams
- High-velocity environment focused on rapid experimentation
What you get
- Annual discretionary stipend for professional development
- Annual discretionary stipend for social travel with colleagues
- Yearly company offsite in locations like Croatia or Italy
- Monthly co-working stipend for those not near main hubs
- Opportunity to define trajectory of AI technology