Data Infrastructure Engineer

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
• Prior experience in a startup or fast-paced tech environment.

What HeyGen Offers

• Competitive salary and benefits package.
• Dynamic and inclusive work environment.
• Opportunities for professional growth and advancement.
• Collaborative culture that values innovation and creativity.
• Access to the latest technologies and tools.