Machine Learning Engineer developing and operating ML systems for video analysis with a focus on reliability and performance. Join TwelveLabs in pioneering multimodal AI from Seoul.
Responsibilities
Build, improve, and operate production ML systems for Pegasus, with a focus on reliability, performance, and maintainability.
Work across core parts of the ML stack, including deployment, inference, evaluation, monitoring, and supporting infrastructure.
Develop systems for serving Video Language Models (VLMs) and handling multimodal data and metadata at production quality.
Make strong technical decisions within your area and drive execution with a high degree of ownership.
Explore and adopt AI-assisted development tools such as Claude, Gemini, and GPT to improve productivity across coding, experimentation, debugging, and documentation.
Requirements
Strong software engineering and machine learning fundamentals.
Experience building and shipping ML systems in production.
Experience with multimodal data and familiarity with areas such as computer vision, natural language processing, LLMs, or VLMs.
Experience with distributed ML or data workflows, ideally in Kubernetes-based environments.
Strong engineering judgment around performance, reliability, and maintainability in production environments.
Experience serving or optimizing LLM/VLM systems in production.
Experience with inference optimization techniques such as batching, caching, or quantization.
Experience building AI/ML systems from early-stage development through production deployment.
Master’s or PhD in Machine Learning, Computer Science, or a related technical field.
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