Data Infrastructure Engineer
HeyGen · Not provided by source
MeritLog read this listing from HeyGen's Greenhouse job board and last checked it on September 8, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- Not provided by source
- Salary
- Not listed by source
- Location
- Los Angeles, Palo Alto, San Francisco, Toronto
Hiring context
How this role compares at HeyGen
HeyGen has 20 live roles in MeritLog’s catalog across 7 job families, and 3 of them are in data & analytics. 9 of those listings publish a pay range, a disclosure rate of 45%.
HeyGen concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- 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.
What they're asking for
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related fieldEducation
- Proven experience in managing infrastructure for large-scale AI or machine learning projectsSkill
- Excellent problem-solving skills and the ability to work independently or as part of a team.Skill
- Proficiency in PythonSkill
- Experience optimizing computational workflowsSkill
- Familiarity with AI and machine learning frameworks like TensorFlow or PyTorch.Skill
- Experience with GPU computingSkillPreferred
- Experience with distributed data processing systemSkillPreferred
- Experience building large scale batch inference systemSkillPreferred
- Prior experience in a startup or fast-paced tech environment.SkillPreferred
- Competitive salary and benefits package.SkillPreferred
- Dynamic and inclusive work environment.SkillPreferred
- Opportunities for professional growth and advancement.SkillPreferred
- Collaborative culture that values innovation and creativity.SkillPreferred
- Access to the latest technologies and tools.SkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
About HeyGen 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. But the ability to create such content, in particular videos, continues to be costly and challenging to scale. Our ambition is to build technology that equips more people with the power to reach, captivate, and inspire audiences. Learn more at www.heygen.com. Visit our Mission and Culture doc here. 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. HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.