TwelveLabs

Lead the research and engineering of next-generation multimodal structure and embedding models that power video understanding and retrieval at scale. This high-autonomy role connects research, distributed training, production model APIs, evaluation, and cross-team technical leadership.

Lead the design and evolution of Pegasus’s large-scale training infrastructure and operations for multimodal video-language models. This hands-on technical leadership role focuses on reliable, reproducible distributed training systems that move research into production.

Senior Platform Engineer로서 TwelveLabs의 AI 플랫폼을 뒷받침하는 확장 가능한 인프라와 내부 플랫폼을 설계·운영합니다. Production reliability, incident response, observability, deployment automation을 직접 주도하며 시스템 전반의 근본 원인을 해결합니다.

Build and operate production-grade machine learning systems for Pegasus, TwelveLabs' video-language model, across deployment, inference, evaluation, monitoring, and multimodal data processing. This role combines hands-on ML engineering with large-scale VLM serving and optimization.

Token Engineer는 AI 코딩 도구와 모델 API의 사용량·비용·성능·보안을 통합 관리하는 플랫폼을 설계하고 운영합니다. 계측 파이프라인, AI 게이트웨이, 비용 최적화, 이상 탐지와 자동화 시스템을 초기 설계부터 프로덕션까지 직접 구축하는 역할입니다.

Own and build mission-critical internal products that power model evaluation, regression testing, dataset discovery, and agentic context curation at TwelveLabs. This high-autonomy Staff Backend Engineer role centers on secure, large-scale data systems and foundational internal tooling.

Own the integration layer that makes TwelveLabs’ multimodal video and image AI accessible to external developers and agents. You’ll lead the MCP server, agent interfaces, authentication, authorization, metering, rate limiting, and enterprise-readiness work for Jockey.

Design and operate scalable, secure infrastructure for TwelveLabs’ AI SaaS platform across cloud and on-premises environments. This role focuses on multi-tenant architecture, infrastructure automation, and enabling rapidly evolving video AI products.