8 months ago
Responsibilities
- Design, build, and maintain data infrastructure and systems for AI applications
- Develop systems for large-scale data acquisition and multimodal data processing
- Improve storage and computation efficiency
- Build infrastructure for AI model evaluation and productionization
- Collaborate with data scientists and machine learning engineers to address computational and data needs
- Track industry trends in data infrastructure and advocate for best practices and continuous improvement
- Assist with cloud resource budgeting and infrastructure expense management
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field
- Proven experience managing infrastructure for large-scale AI or machine learning projects
- Proficiency in Python
- Experience optimizing computational workflows
- Familiarity with AI and machine learning frameworks such as TensorFlow or PyTorch
- Experience with GPU computing preferred
- Experience with distributed data processing systems preferred
- Experience building large-scale batch inference systems preferred
- Prior startup or fast-paced technology company experience preferred
- Strong problem-solving skills and ability to work independently or collaboratively
Benefits
- Competitive salary and benefits package
- Dynamic and inclusive work environment
- Professional growth and advancement opportunities
- Collaborative culture focused on innovation and creativity
- Access to the latest technologies and tools
Categories
Data EngineeringML Engineering
About HeyGen
HeyGen builds an AI video platform for businesses and creators to generate videos with avatars, text-to-speech, and translation across languages. Its web-based tools and APIs support use cases like marketing, training, and localization, offered as subscription software with add-ons for enterprise teams. Founded in 2020 and headquartered in Los Angeles, the company is privately held.