TwelveLabs
TwelveLabs builds video-understanding infrastructure and multimodal AI models that let developers and enterprises search, analyze, and build applications from video and audio. It sells APIs and platform integrations, working with major clouds (AWS, Azure, GCP) and data platforms (Databricks, Snowflake) to support production-scale workloads in media, entertainment, sports, security, and government. Founded in 2021 and headquartered in San Francisco, it is privately held.
Open Positions at TwelveLabs
8 open positions
TwelveLabs is seeking a Senior Frontend Engineer to build intuitive, high-quality experiences for its Playground and Jockey App products. You will turn complex video AI and agent capabilities into reliable, performant, and accessible web interfaces.
Senior Backend Engineer on TwelveLabs’ Forge team, building the core platform that enables developers and enterprises to use the company’s video AI models through APIs, SDKs, and web applications. You will own backend systems for authentication, billing, organizations, usage controls, and scalable video-data services.
Staff Solutions Architect helping strategic customers design, implement, and scale video AI applications using TwelveLabs’ multimodal models and APIs. The role combines deep technical guidance, customer relationship ownership, and collaboration with Sales, Product, Partnerships, and Engineering.
Senior Infrastructure Engineer responsible for building and operating scalable, secure infrastructure for TwelveLabs’ AI SaaS platform across cloud and on-premises environments. The role focuses on multi-tenant architecture, infrastructure automation, and reliable support for video AI products.
Senior Infrastructure Engineer responsible for designing and operating scalable, secure infrastructure for TwelveLabs’ AI SaaS platform across cloud and on-premises environments. The role focuses on multi-tenant architecture, infrastructure automation, Kubernetes workloads, and reliable support for video AI products.
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.
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.