About ElevenLabs
ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses. We have expanded from voice into three main platforms: ElevenAgents, ElevenCreative, and ElevenAPI. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives.
How we work
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
What you’ll do
- Build safety systems: Design, develop, and 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.
What we offer
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
Requirements
- 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.
Bonus
- Experience building Trust & Safety, content moderation, fraud detection, or abuse prevention systems.
- Experience building guardrails or safety infrastructure for AI agents and LLM-based applications.
- Experience deploying and integrating ML models into production applications.
- Familiarity with Kubernetes, Docker, CI/CD pipelines, and cloud infrastructure (AWS/GCP).
- Experience with monitoring and observability tools such as Prometheus and Grafana.
- Experience with React or other modern frontend frameworks.
- Experience with real-time data processing, event-driven architectures, or technologies such as Kafka and Redis.
