Level

HeyGen

Data Infrastructure Engineer

HeyGen is hiring a Data Infrastructure Engineer in Los Angeles, United States. Level rates it ; you can apply on HeyGen.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions PyTorch, TensorFlow and AI evaluation among its tools and skills.
  • HeyGen has 19 other open roles on Level.

AI in this role

pytorchtensorflow
ai-evaluationai-research

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.

How we rate this

Data Infrastructure Engineer at HeyGen rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI EvaluationAI ResearchPyTorchTensorFlow

Questions you could be asked

  1. How do you decide that one model's output is better than another's for a given task?
  2. Tell me about a research question you investigated. What did you find?
  3. What are the limits of PyTorch that you've run into, and how did you work around them?
  4. What's a project where you used TensorFlow hands-on?
  5. Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

  • List these exact terms on your resume: AI Evaluation, AI Research, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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