About Us
At Colossyan, we’re building the future of workplace learning with AI video.
Top companies like P&G, Porsche, BASF, BDO, and Paramount already use Colossyan to create engaging and interactive video content faster and more cost effectively than traditional video production.
Nearly 1 million videos have been created using Colossyan, and we’ve been recognized as a G2 Leader in multiple product categories.
Here’s an overview of our standout features:
- Create text-to-speech videos hosted by one of our 150+ AI avatars
- Translate your video content to 70+ languages in just four clicks
- Bring documents to life with our document-to-video feature
- Personalize your videos by creating a custom avatar of yourself, complete with a cloned voice
- Make learning content interactive with features like branching, multiple choice quizzes, and more
To learn more about our product features, visit colossyan.com.
The Role:
This is a full-time hybrid role as a Research Engineer at Colossyan. The Research Engineer will be responsible for developing multi-modal (audio and video) models for human avatars, working with neural networks, analysing statistics, and designing efficient algorithms.
What we're looking for:
- Strong background in Computer Vision, Pattern Recognition, Neural Networks, and Algorithms skills
- Strong background in Computer Science
- Proficiency in applying statistical methods
- Experience in developing and implementing machine learning models
- Experience in developing and implementing generative sequential and computer vision models
- Excellent problem-solving and analytical skills
- Ability to collaborate effectively with cross-functional teams
- Ensure the quality and consistency of AI-generated content through rigorous testing and evaluation
- Ideally, a Master's or Ph.D. degree in Computer Science, Machine Learning, or related field
At Colossyan, we believe that diversity drives innovation and inclusion fosters a sense of belonging. We are committed to creating a workplace where everyone feels valued, respected, and empowered to bring their authentic selves to work.
We actively seek to build a diverse team and encourage applications from candidates of all backgrounds and beliefs to apply to our open positions.
