About this job
<h3>About <a href="https://jobicy.com/company/elevenlabs" target="_blank" rel="noopener">ElevenLabs</a></h3>
<p>ElevenLabs is an AI research and product company transforming how we interact with technology.</p>
<p>We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.</p>
<p>We have expanded from voice into three main platforms:</p>
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<p>ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.</p>
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<p>ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.</p>
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<p>ElevenAPI gives developers access to our leading AI audio foundational models.</p>
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<p>Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.</p>
<h3>How we work</h3>
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<p><strong>High-velocity: </strong>Rapid experimentation, lean autonomous teams, and minimal bureaucracy.</p>
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<p><strong>Impact not job titles: </strong>We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.</p>
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<p><strong>AI first:</strong> We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.</p>
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<p><strong>Excellence everywhere: </strong>Everything we do should match the quality of our AI models.</p>
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<p><strong>Global team: </strong>We prioritize your talent, not your location.</p>
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<h3>What we offer</h3>
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<p><strong>Innovative culture:</strong> 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.</p>
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<p><strong>Growth paths: </strong>Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.</p>
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<p><strong>Learning & development</strong>: ElevenLabs proactively supports professional development through an annual discretionary stipend.</p>
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<p><strong>Social travel</strong>: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.</p>
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<p><strong>Annual company offsite: </strong>Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.</p>
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<p><strong>Co-working</strong>: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.</p>
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<h3><strong>What you’ll do</strong></h3>
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<p><strong>Build safety systems:</strong> Design, develop, and scale automated moderation systems, abuse detection capabilities, and guardrails for AI agents across ElevenLabs’ products.</p>
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<p><strong>Respond to emerging threats:</strong> 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.</p>
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<p><strong>Own production infrastructure:</strong> Build and maintain a growing ecosystem of internal safety services, taking ownership of their architecture, deployment, reliability, monitoring, and ongoing operation.</p>
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<p><strong>Bring ML models into production:</strong> 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.</p>
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<p><strong>Build end-to-end solutions:</strong> Develop backend services, APIs, internal tools, and user-facing interfaces that enable effective moderation, safety operations, and policy enforcement.</p>
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<p><strong>Collaborate across teams:</strong> Work closely with Product, Legal, and Safety Policy teams to translate business, regulatory, and policy requirements into scalable engineering solutions.</p>
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<p><strong>Product:</strong> Understand and navigate the tradeoffs between product growth, user experience, and platform safety.</p>
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<p><strong>Legal:</strong> Translate legal and regulatory requirements into practical, scalable safety systems.</p>
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<p><strong>Safety Policy:</strong> Collaborate on how safety policies are implemented technically, while helping inform policy decisions through an understanding of engineering capabilities and constraints.</p>
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<p><strong>Shape our technical direction:</strong> Contribute to architectural decisions and help define how our safety infrastructure evolves as our products, users, and safety challenges grow.</p>
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<h3><strong>Requirements</strong></h3>
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<p>5+ years of software engineering experience building and operating production systems.</p>
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<p>Strong backend engineering experience, including designing APIs, working with databases, and building scalable services.</p>
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<p>Proficiency in Python and experience with modern backend frameworks.</p>
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<p>Experience building and maintaining distributed systems and cloud-based applications.</p>
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<p>Comfortable owning systems end to end, from technical design and implementation through deployment, monitoring, and ongoing maintenance.</p>
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<p>Experience working across different parts of the stack, with the ability to build internal tools or frontend interfaces when needed.</p>
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<p>Strong problem-solving skills and an ability to navigate ambiguous requirements and make pragmatic engineering decisions.</p>
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<p>Ability to collaborate effectively with engineers and non-technical stakeholders across different functions.</p>
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<h3><strong>Bonus</strong></h3>
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<p>Experience building Trust & Safety, content moderation, fraud detection, or abuse prevention systems.</p>
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<p>Experience building guardrails or safety infrastructure for AI agents and LLM-based applications.</p>
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<p>Experience deploying and integrating ML models into production applications.</p>
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<p>Familiarity with Kubernetes, Docker, CI/CD pipelines, and cloud infrastructure (AWS/GCP).</p>
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<p>Experience with monitoring and observability tools such as Prometheus and Grafana.</p>
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<p>Experience with React or other modern frontend frameworks.</p>
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<p>Experience with real-time data processing, event-driven architectures, or technologies such as Kafka and Redis.</p>
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<h3><strong>Location</strong></h3>
<p>This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.</p>
<p>#LI-remote</p>
<p>We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.</p>