QA Engineer - AI Video

  • Engineering
  • London, United Kingdom

QA Engineer - AI Video

Job description

Synthesia is on a mission to bring video synthesis to content creators around the world using generative AI. We are a team of researchers and entrepreneurs from UCL, Stanford, TUM and Cambridge creating a platform for AI video that will bring entirely new capabilities to video production and the media industries.

We are looking for a talented QA Engineer to work on cutting edge technologies for video production. You will be working across a diverse range of projects from production, delivery and customer support to testing and validating new tools as we build a web platform that will disrupt media industries.

Located in RocketSpace at Angel, London, we are looking for someone that is excited about the opportunities offered by a startup environment, working side-by-side with colleagues across machine learning, computer vision and visual effects.


You need a startup mindset, focusing on key requirements and managing changing demands in a fast-paced collaborative atmosphere.

You will:
  • Play a key role in delivering production tests and supporting external clients
  • Create, update and maintain test cases across existing services
  • Test, validate and track defects in direct collaboration with development
  • Test and validate new tools for video synthesis in collaboration with researchers
  • Work directly with product development to shape future services and tools 

Our culture

We’re a young, visionary start-up working at the very forefront of computer vision research. Our core team has experience from world-class institutions in both industry and academia and we are determined to build a strong technology-led company. We need curious people who are keen to learn and who can play a key role in growing the company and making sure the journey is a fun and memorable one.


The ideal candidate would have a keen interest and background in audio and video production.

You are:

  • An amazing communicator with the ability to work effectively with both clients and teams
  • Focused on detail, with the ability to concisely and effectively document and track issues
  • Experienced in creating product test plans and defining useability and regression tests
  • Familiar with with audio/video production and post-production tools and workflows
  • Familiar with command line environments and proficient in python and automated tests
  • Passionate, proactive and committed to delivering high quality results