Posted 16 months ago
Data Infrastructure Engineer
@ HeyGen
Toronto, Ontario
Overview
HeyGen is hiring a Data Infrastructure Engineer to build and maintain the data systems behind its AI video applications. The work covers large-scale data acquisition, multi-modal data processing, storage and compute efficiency, and model evaluation infrastructure.
Responsibilities:
- Design, build and maintain data infrastructure for AI applications
- Develop large-scale data acquisition and multi-modal processing systems
- Improve storage and computation efficiency
- Build AI model evaluation and productionization infrastructure
- Manage cloud resource budgets
Requirements summary:
- Bachelor's or Master's in computer science or engineering
- Proven experience managing large-scale AI or ML infrastructure
- Proficiency in Python
- Experience optimizing computational workflows
- Familiarity with TensorFlow or PyTorch
Tools & skills
Source and dates
Employer career site / ATS feed · greenhouse
- Employer posting date
- 2025-07-02
- First seen by our source
- 2026-10-10
- Source record updated
- 2026-10-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | IT |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Master’s degree (required) |
| Fields of study | Computer Science, Engineering |
Summary and details written by AI from the posting; the employer’s posting is the authority.
HeyGen
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Making visual storytelling accessible to all.
Full company description
HeyGen is a message-first AI video platform that helps people and AI agents turn ideas into professional video in minutes. Used by a community of over 30 million users and 85% of the Fortune 100, HeyGen makes it easy to create and share videos seamlessly across languages and formats.
- LinkedIn followers
- 80,190
- People associated on LinkedIn
- 390
- Reported office locations
- Los Angeles, CA, US
- San Francisco, CA, US
- Palo Alto, CA, US
- Toronto, ON, CA
- Business categories
- Software
- Generative AI
- Web Apps
- E-Learning
- Video
- Other recorded names
- HeyGen
- Specialties
- AI Video Generator
- Video Translation
- AI Avatars
- and Video Agent
- Profile identifies a recruitment agency
- No
- Reported total investment
- 69,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
HeyGen is a message-first AI video platform that helps people and AI agents turn ideas into professional video in minutes. Used by a community of over 30 million users and 85% of the Fortune 100, HeyGen makes it easy to create and share videos seamlessly across languages and formats.
| Field | Value |
|---|---|
| Industry | Technology, Information and Internet |
| Company size | 51-200 employees |
| Headquarters | Los Angeles, CA |
| Organization type | Privately Held |
| Year founded | 2020 |
| Specialties | AI Video GeneratorVideo TranslationAI Avatarsand Video Agent |
| Open jobs on Jobsy | 2 |
| View page |
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.
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