Heygen
Data Infrastructure Engineer
Los Angeles, Palo Alto, San Francisco, Toronto +4 · Full-time · Posted Jul 2, 2025
- Location
- Los Angeles, Palo Alto, San Francisco, Toronto
Los Angeles, California, United States
Palo Alto, California, United States
San Francisco, California, United States
Toronto, Ontario, Canada - Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
About the job
Develops and maintains data infrastructure that supports HeyGen’s AI applications, focusing on scalability, efficiency, and production systems.
What you'll do
- Build and maintain data infrastructure, including large-scale data acquisition, multimodal processing, efficient storage and computation, and model evaluation and productionization.
- Work with data scientists and machine learning engineers to address computational and data needs.
- Track infrastructure trends, promote best practices, and help manage cloud and infrastructure budgets.
What they ask for
- 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 TensorFlow or PyTorch.
Nice to have
- Experience with GPU computing, distributed data processing systems, or large-scale batch inference systems.
- Prior experience in a startup or fast-paced tech environment.
Tools
Python, TensorFlow, PyTorch
AI focus
Builds infrastructure for AI applications, including multimodal data processing, model evaluation, and productionization.
Model-written summary · the original posting is authoritative