
1 - 10 employees
💰 $19M Series A on 2023-06
Research Lab. Exploring new frontiers of voice generation. We are researching and deploying novel methods in voice AI to make content enjoyable in any language and voice to benefit new audiences and viewers.
🕒 February 3
AWS
Cloud
Distributed Systems
Docker
Google Cloud Platform
Grafana
Kafka
Kubernetes
Prometheus
Python
React
Redis
SQL
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1 - 10 employees
💰 $19M Series A on 2023-06
Research Lab. Exploring new frontiers of voice generation. We are researching and deploying novel methods in voice AI to make content enjoyable in any language and voice to benefit new audiences and viewers.
• Design and build scalable backend infrastructure for content moderation, abuse detection and agents guardrails, deploying AI/ML models into production systems • Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows • Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks • Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite • Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision.
• 6+ years of backend software engineering experience building production systems at scale • Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) • Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines • Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems • Track record of taking products or systems from 0→1 with measurable impact, including deploying or working alongside ML/AI systems in production. • Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience • MLOps experience: deployment, monitoring, and versioning of ML models • Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures • Familiarity with React or modern frontend frameworks
• 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 company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. • Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
Apply Now🕒 January 27
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