Data Infrastructure Engineer

Overview As a Data Infrastructure Engineer at HeyGen, you will design, build, and scale data systems that power cutting-edge AI applications like Avatar IV, Photo Avatar, and Video Translation. You’ll collaborate with data scientists and ML engineers to optimize data workflows, storage, and infrastructure cost, driving efficiency and reliability. You will stay ahead of industry trends and contribute to budget planning for cloud resources. This role combines hands-on engineering with a strong impact on product scalability and performance. Join a fast-paced, innovative environment shaping next-gen visual AI tools. Compensation / BenefitsCompetitive salaryBenefits packageDynamic and inclusive work environmentOpportunities for professional growthCollaborative culture that values innovationAccess to latest technologies and tools ResponsibilitiesDesign, build, and maintain data infrastructure to support AI applicationsHandle large-scale data acquisition and multi-modal data processingImprove storage and compute efficiencyDevelop AI model evaluation and productionization infrastructureCollaborate with data scientists and ML engineers to meet computational and data needsStay current with data infrastructure trends and advocate best practicesAssist in budget planning and cloud resources management Key requirementsBachelor’s or Master’s degree in Computer Science, Engineering, or related fieldProven experience managing infrastructure for large-scale AI/ML projectsExcellent problem-solving skills and ability to work independently or in a teamProficiency in PythonExperience optimizing computational workflowsFamiliarity with TensorFlow or PyTorchstrong problem-solvingindependence and teamworkcollaboration with cross-functional teamsPythonTensorFlowPyTorch