Data Infrastructure Engineer
At a glance
Mid-level Platform & Infrastructure role at HeyGen. Los Angeles · no salary stated · we estimate $118,725–$195,100 across the United States.
HeyGen has not published a salary for this role. The figure below is our estimate, not theirs.
devopsroles summary, based on the employer's posting.
What you'll do
- Build and look after data foundations for AI products, from large-scale collection through multimodal processing
- Make storage and computing more efficient, and create systems to assess and productionize AI models
- Translate data and compute needs from research and ML teams into practical infrastructure
- Help forecast cloud usage and infrastructure costs while championing better engineering practices
What you bring
- A bachelor's or master's qualification in computer science, engineering or a related area
- A track record running infrastructure for sizable AI or machine learning efforts
- Python skills and experience tuning computational workflows
- Working familiarity with TensorFlow, PyTorch or comparable AI and machine learning frameworks
Who this fits
This role suits a mid-level engineer comfortable working independently and alongside research and engineering partners. The position is located in Los Angeles.
From the employer
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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