About the job
Join Our Team
We are on the lookout for talented individuals who are eager to contribute to setting the global standard for video understanding AI! At twelve-labs, we are developing cutting-edge AI models that efficiently process vast amounts of video data, offering specialized search, analysis, summarization, and insight generation capabilities.
Our models are utilized by the world’s largest sports leagues, enabling them to quickly and accurately select highlights from extensive game footage, providing a super-personalized viewing experience. In South Korea, integrated control centers leverage our technology to efficiently explore CCTV footage, responding swiftly to crisis situations. Major broadcasters and studios worldwide employ our models to create content for billions of viewers.
As a deep tech startup with offices in San Francisco and Seoul, twelve-labs has been recognized as one of the top 100 AI startups globally by CB Insights for four consecutive years. We have secured over $110 million in funding from renowned VCs and enterprises, including NVIDIA, NEA, Index Ventures, Databricks, and Snowflake. Notably, our AI models, developed in Korea, are the only ones available through Amazon Bedrock. We thrive on creating innovative products with exceptional colleagues and growing alongside our global clientele.
At twelve-labs, we operate based on core values that include:
A reflective and honest attitude towards oneself and the team
Resilience and humility in the face of failure and feedback
A commitment to continuous learning to enhance the team’s capabilities
If you enjoy solving challenging problems and growing through the process, the opportunity is here at twelve-labs.
About Our Team
Our Infrastructure Team believes that 'data determines the performance of AI models.' We build high-quality data pipelines for the training and evaluation of multimodal AI models end-to-end. We collect, filter, process, and label diverse multimodal data, collaborating with various teams to design training data that can uncover new model capabilities. Additionally, we create evaluation datasets that reflect actual user experiences and develop internal tools to streamline these processes continuously.
Your Role
As an Infrastructure Engineer at twelve-labs, you will design and build core infrastructure to ensure the stable and scalable operation of our AI SaaS platform. You will work with system architectures across various cloud and on-premise environments, constructing robust infrastructure that supports our video AI foundation models. In our rapidly evolving startup environment, you will optimize performance, security, and flexibility while closely collaborating with multiple internal teams.
Key Responsibilities
Design and operate multi-tenant architecture for global enterprise clients
Develop automation and scalable CI/CD pipelines using Terraform
Build flexible infrastructure encompassing various cloud environments such as AWS, GCP, and Azure, as well as on-premises
Optimize secure and efficient cloud infrastructure through advanced monitoring and security systems
Design scalable architecture to rapidly support new video AI models and services
Collaborate with PMs, engineers, and researchers to bring AI products to fruition
Ideal Candidate
Experience in building and operating infrastructure in cloud environments such as AWS, GCP, or Azure
Proficiency in using IaC tools like Terraform and Ansible for automation and architecture design
Familiarity with Kubernetes and container orchestration
