Data Infrastructure Engineer

HeyGen•Los Angeles, CA

About The Position

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.

Requirements

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.

Nice To Haves

Experience with GPU computing
Experience with distributed data processing system
Experience building large scale batch inference system
Prior experience in a startup or fast-paced tech environment.

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.