Data Infrastructure Engineer at HeyGen

Los Angeles, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

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

Responsibilities

Design, build, and maintain the data infrastructure and systems needed to support AI applications, including large scale data acquisition, multi-modal data processing framework and applications, storage and computation efficiency, and 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

Skills

Key technologies and capabilities for this role

Data InfrastructureLarge Scale Data AcquisitionMulti-Modal Data ProcessingStorage OptimizationComputation EfficiencyAI Model EvaluationModel ProductionizationCloud Resource ManagementML Infrastructure

Questions & Answers

Common questions about this position

What compensation does HeyGen offer for the Data Infrastructure Engineer role?

HeyGen offers a competitive salary and benefits package.

Is this Data Infrastructure Engineer position remote or office-based?

This information is not specified in the job description.

What skills are required for the Data Infrastructure Engineer position?

Required skills include a Bachelor’s or Master’s in Computer Science or related field, proven experience managing infrastructure for large-scale AI/ML projects, proficiency in Python, experience optimizing computational workflows, and familiarity with TensorFlow or PyTorch.

What is the company culture like at HeyGen?

HeyGen offers a dynamic and inclusive work environment with a collaborative culture that values innovation, creativity, and diversity.

What makes a strong candidate for the Data Infrastructure Engineer role at HeyGen?

Strong candidates have the required qualifications plus preferred experience with GPU computing, distributed data processing systems, large-scale batch inference systems, and prior work in a startup or fast-paced tech environment.

HeyGen

AI video editor for professional content creation

About HeyGen

HeyGen provides an AI video editor that enables users to create professional spokesperson videos without needing human actors. The platform uses AI-generated avatars, allowing users to select from various virtual actors, apply automatic translations, and choose different accents to cater to diverse audiences. This service is particularly beneficial for small businesses, educational institutions, and marketing professionals who require high-quality video content quickly and affordably. Unlike traditional video production, which can be costly and time-consuming, HeyGen streamlines the process, making it accessible to a wider range of clients. The company operates on a subscription model, offering different service levels to accommodate both small and large enterprises, ensuring a steady revenue stream while providing continuous updates and customer support. HeyGen's goal is to simplify video content creation and meet the increasing demand for engaging digital content.

Los Angeles, CaliforniaHeadquarters

2020Year Founded

$72.6MTotal Funding

SERIES_ACompany Stage

Consumer Software, AI & Machine LearningIndustries

51-200Employees