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About HeyGen

At HeyGen, our mission is to make visual storytelling accessible to all. Over the last decade, visual content has become the preferred method of information creation, consumption, and retention. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences.

Learn more at www.heygen.com . Visit our Mission and Culture doc here .

Position Summary

At HeyGen, we are at the forefront of developing applications powered by our cutting-edge AI research. As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and infrastructure. These systems are essential for powering our innovative applications, including Avatar IV , Photo Avatar , Instant Avatar , Interactive Avatar, and Video Translation. Your role will be crucial in enhancing the efficiency and scalability of these systems, which are vital to HeyGen's success.

Key Responsibilities

• Design, build, and maintain the data infrastructure and systems needed to support our AI applications. Examples include
• Large scale data acquisition
• Multi-modal data processing framework and applications
• Storage and computation efficiency
• AI model evaluation and productionization infrastructure
• Collaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions.
• Stay up-to-date with the latest industry trends in data infrastructure technologies and advocate for best practices and continuous improvement.
• Assist in budget planning and management of cloud resources and other infrastructure expenses.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• Proven experience in managing infrastructure for large-scale AI or machine learning projects
• Excellent problem-solving skills and the ability to work independently or as part of a team.
• Proficiency in Python
• Experience optimizing computational workflows
• Familiarity with AI and machine learning frameworks like TensorFlow or PyTorch.

Preferred Qualifications

• Experience with GPU computing
• Experience with distributed data processing system
• Experience building large scale batch inference system