HeyGen

Backend Engineer - Infrastructure

HeyGen
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8 months ago
Toronto, Canada +3 moreMid Level
H1B sponsor

Base Salary

$180k - $240k/yr

Responsibilities

  • Design, develop, and deploy scalable foundational systems across data, cloud, ML, and product infrastructure.
  • Manage multi-vendor GPU capacity and scheduling.
  • Build ML training infrastructure and inference systems for scalable, performant video GenAI.
  • Collaborate with product engineers and AI researchers to deliver performant systems.
  • Monitor backend systems for performance, errors, and anomalies, and implement fixes and improvements.
  • Maintain code quality through code reviews, pair programming, and unit and integration testing.
  • Stay current with system technologies and best practices.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • At least 2 years of experience working on scalable and performant systems.
  • Proficiency in Python or C++.
  • Experience with relational and NoSQL databases such as PostgreSQL, MySQL, and MongoDB.
  • Familiarity with AWS, Azure, or GCP.
  • Strong knowledge of API design and development.
  • Master’s degree in Computer Science, Engineering, or a related field is preferred.
  • Experience with Kubernetes is preferred.
  • Experience with machine learning infrastructure, especially computer vision, is preferred.
  • Prior startup or fast-paced technology environment experience is preferred.

Benefits

  • Competitive salary and benefits package including a 401k plan, health benefits, generous PTO, parental leave, and emotional health resources.
  • Dynamic, inclusive, and collaborative work environment.
  • Opportunities for professional growth and advancement.
  • Access to the latest technologies and tools.
HeyGen

About HeyGen

201-500 employees

HeyGen builds an AI video platform for businesses and creators to generate videos with avatars, text-to-speech, and translation across languages. Its web-based tools and APIs support use cases like marketing, training, and localization, offered as subscription software with add-ons for enterprise teams. Founded in 2020 and headquartered in Los Angeles, the company is privately held.

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