Deep Learning Research Scientist

Animaj leads the global media industry by creating and delivering premium 3D animation to families worldwide. Traditional animation, rooted in outdated processes since the early ‘90s, lags behind the fast-paced demands of today’s digital economy.

Our innovation addresses the time-intensive nature of traditional animation, where each second can take hours or a week to produce.

As a Deep Learning Research Scientist at Animaj, you’ll be instrumental in pioneering sophisticated AI solutions that will be implemented in our 3D animation production workflows.

This position requires a unique combination of skills: you will lead end-to-end research projects while also possessing the technical prowess to build scalable, efficient systems.

You will report to the VP of Engineering and will be part of an ambitious team pushing the boundaries of the Kids’ animation industry through innovation in generative AI applications.

Our Values at Animaj

Responsibilities

• Design advanced deep learning and generative approaches in text-to-motion, audio-to-motion, motion transfer, motion retrieval and 3D style transfer to automate 3D animation production workflow

• Research new AI-based ways of creating, editing, and rendering 3D animation content

• Employ rigorous testing and iterative improvement processes to optimize the performance and accuracy of our models

• Collaborate with the rest of the engineering team to bring your models to production and to integrate them into animation production tools and workflows

• Construct and curate large datasets to train your models, leveraging Animaj proprietary assets and other data sources

• Refine proprietary and open-source AI models for the specificity of kids’ animation content

• Develop practical knowledge of traditional 3D animation production workflows

• Review scientific literature for a range of given problems in computer graphics, computer vision, 3D animation, and generative modeling. Share your insights with the team, contributing to a culture of continuous learning and innovation