Data Infrastructure Engineer

Position Overview

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, yet creating videos remains costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. As a Data Infrastructure Engineer, you will lead the development of fundamental data systems and infrastructure powering our innovative AI applications, including Avatar IV, Photo Avatar, Instant Avatar, Interactive Avatar, and Video Translation. Your role is crucial in enhancing the efficiency and scalability of these systems, vital to HeyGen's success.

Key Responsibilities

• Design, build, and maintain the data infrastructure and systems to support our AI applications.
• Implement large scale data acquisition strategies.
• Develop multi-modal data processing frameworks and applications.
• Enhance storage and computation efficiency.
• Establish 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 updated with 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.

Required 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 systems.
• Experience building large scale batch inference systems.
• Prior experience in a startup or fast-paced tech environment.

Benefits & Perks

• 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.