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Data Infrastructure Engineer

HeyGen

San Francisco, CAFull-timePosted 1y agoStill listed 2w ago

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At a glance

Compensation
No compensation found
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

HeyGen is hiring a Data Infrastructure Engineer. HeyGen is seeking a Data Infrastructure Engineer to lead the development of fundamental data systems and infrastructure for its cutting-edge AI applications. This role involves enhancing the efficiency and scalability of systems crucial to HeyGen's success, collaborating with data scientists and machine learning engineers, and staying updated on industry trends.

Key focus areas include Design, build, and maintain data infrastructure and systems for AI applications, Collaborate with data scientists and machine learning engineers to understand needs, and Stay up-to-date with latest industry trends in data infrastructure technologies.

Successful candidates bring Bachelor's Or Master's Degree In Computer Science Engineering Or Related Field, Proven Experience Managing Infrastructure For Large‑Scale AI Or Machine Learning Projects, and Excellent Problem‑Solving Skills. Important skills include Large Scale Data Acquisition, Multi-Modal Data Processing Framework, Storage And Computation Efficiency, AI Model Evaluation Infrastructure, AI Model Productionization Infrastructure, and Collaborate With Data Scientists. Preferred (not required): GPU Computing, Distributed Data Processing System, and Building Large Scale Batch Inference System.

Skills & qualifications

RequiredNice to have

Skills

Large Scale Data AcquisitionMulti-Modal Data Processing FrameworkStorage and Computation EfficiencyAI Model Evaluation InfrastructureAI Model Productionization InfrastructureCollaborate With Data ScientistsCollaborate With Machine Learning EngineersProvide Efficient SolutionsStay Up-to-Date With Industry TrendsAdvocate for Best PracticesAdvocate for Continuous ImprovementAssist in Budget PlanningManagement of Cloud ResourcesManagement of Infrastructure ExpensesProblem-SolvingWork IndependentlyWork as Part of a TeamPythonOptimizing Computational WorkflowsTensorFlowPyTorchGPU ComputingDistributed Data Processing SystemBuilding Large Scale Batch Inference System

Qualifications

Bachelor's or Master's in Computer ScienceBachelor's or Master's in Related FieldExperience Managing Infrastructure for Large-Scale AI ProjectsPrior Experience in a StartupPrior Experience in Fast-Paced Tech EnvironmentDegree in Engineering

Full 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.

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