Safety Engineer

About the Role

Day-to-day, the Safety Engineer will be responsible for the end-to-end technical execution of safety systems, from architecture to deployment and monitoring. This involves designing and building scalable backend infrastructure for content moderation, abuse detection, and agent guardrails, deploying AI/ML models into production systems, and architecting robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows.

The team context at Elevenlabs is fast-paced and dynamic, with a focus on high-velocity experimentation, lean autonomous teams, and minimal bureaucracy. The company prioritizes impact over job titles, meaning that every team member is expected to contribute and drive results, regardless of their role. With a strong emphasis on AI-first approaches, the company uses AI to move faster with higher-quality results across all aspects of the business, from engineering to growth and operations.

What You Will Do

• Design and build scalable backend infrastructure for content moderation, abuse detection, and agents guardrails.
• Deploy AI/ML models into production systems to ensure seamless integration with existing platforms.
• Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows.
• Implement comprehensive monitoring, alerting, and observability systems to ensure the health and performance of safety infrastructure.
• Establish SLIs, SLOs, and performance benchmarks to measure the effectiveness of safety systems.
• Partner with ML engineers to translate research models into production-ready systems and integrate them across the product suite.
• Drive technical decisions and contribute to the vision of the safety roadmap, focusing on how the next generation of platform guardrails should be built for scale and precision.
• Collaborate with cross-functional teams to ensure that safety considerations are integrated into all aspects of product development.
• Stay updated with the latest developments in AI safety and moderation to continuously improve the company's safety infrastructure.

What We Are Looking For

• 3+ years of experience in a safety engineering or related role, preferably in an AI or tech company.
• Strong proficiency in Excel and experience with data analysis and modeling.
• Experience with designing and deploying AI/ML models into production environments.
• Knowledge of backend infrastructure and cloud computing platforms (e.g., AWS, Azure).
• Understanding of DevOps principles and experience with CI/CD pipelines.
• Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Experience with API design, data pipelines, and service architectures.
• Familiarity with observability and monitoring tools (e.g., Prometheus, Grafana).

Nice to Have

• Experience with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
• Knowledge of cybersecurity principles and practices, particularly in relation to AI systems.
• Familiarity with agile development methodologies and version control systems (e.g., Git).
• Experience working in a remote or distributed team environment.
• Certification in AI, ML, or a related field.

Benefits and Perks

• Competitive salary package, with a focus on performance and impact.
• Opportunities for professional growth and development, including an annual discretionary stipend for learning and development.
• Flexible working hours and remote work options, with a monthly co-working stipend for those not located near main hubs.
• Annual company offsite to foster team bonding and collaboration.
• Access to cutting-edge technology and the opportunity to work on innovative AI projects.
• Comprehensive health insurance and wellness programs.
• Generous parental leave policy and support for families.
• Recognition and reward programs for outstanding performance and contributions.

• Leverage your Excel skills: Highlight your proficiency in data analysis and modeling, and be prepared to provide examples of how you've applied these skills in previous roles.
• Stay updated on AI safety: Continuous learning is key in this rapidly evolving field; show that you're proactive in staying updated with the latest developments and research in AI safety and moderation.
• Prepare to talk about scalability: Since the role involves building scalable backend infrastructure, be ready to discuss your experience with scalability, including how you've handled increased traffic or demand in previous positions.
• Emphasize collaboration: Given the emphasis on cross-functional teamwork at Elevenlabs, highlight your ability to work effectively with various teams, including ML engineers, product developers, and other stakeholders.
• Showcase your problem-solving skills: Provide specific examples of complex problems you've solved in the past, focusing on your approach, the tools you used, and the outcomes you achieved.
• Be ready to discuss your vision for AI safety: Elevenlabs is looking for individuals who can contribute to the company's safety roadmap. Be prepared to discuss your thoughts on the future of AI safety, including how you think the next generation of platform guardrails should be built for scale and precision.
• Highlight your experience with DevOps and CI/CD: The ability to work in a fast-paced environment and manage continuous integration and deployment is crucial. Highlight any experience you have with DevOps practices and tools.