Deep Learning Research Scientist

Animaj is a next-generation media company that brings high-quality and inspiring brands to Kids and Families worldwide.We acquire and transform high-quality IPs into multi-platform franchises, using a digital-first and AI-driven approach.Our content, produced independently, aims to inspire children to dream, explore, and create.To bring this vision to life, we have so far raised €100m in debt and equity (from renowned VC investors incl. LeftLane, XAnge and Daphni) and already acquired 3 IPs - including our flagship, Pocoyo - a symbol of European excellence - with more to come.Job DescriptionAnimaj 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 Traditional animation, rooted in outdated processes since the early '90s, lags behind the fast-paced demands of today's digital economy.Our innovation addresses the time-intensive nature of traditional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.ResponsibilitiesDesign 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 workflowResearch new AI-based ways of creating, editing, and rendering 3D animation contentEmploy rigorous testing and iterative improvement processes to optimize the performance and accuracy of our modelsCollaborate with the rest of the engineering team to bring your models to production and to integrate them into animation production tools and workflowsConstruct and curate large datasets to train your models, leveraging Animaj proprietary assets and other data sourcesRefine proprietary and open-source AI models for the specificity of kids’ animation contentDevelop practical knowledge of traditional 3D animation production workflowsReview 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 innovationPreferred ExperiencePhD or MSc in the field of computer vision and graphics, machine learning or related areas3+ years of experience with applications in computer vision, computer graphics or content generation, and peer-reviewed publicationsDemonstrated capability to independently lead research projects with end-to-end responsibilityStrong experience with computer vision and graphics in several of the following areas: 3D animation, image generation, and renderingProven ability in designing and training deep neural networks and generative modelsKnowledge of traditional 3D animation workflows is a strong plusAdvanced proficiency in Python programming is essentialStrong written and verbal communication skillsStrong problem-solving skills and the ability to collaborate effectively within a multidisciplinary team environment. You should be able to take initiative, think creatively, and propose innovative solutionsEnglish proficiency and experience working in a multinational environmentAbility to operate and lead in a fast-paced environment, managing priorities to meet deadlinesRecruitment ProcessScreening interview with our VP of EngineeringCase Study homeworkFocus interview with our VP of Engineering and an other Deep Learning Research ScientistFinal interview with our CEOStock Options - We want all of our early employees to participate fully in Animaj's success.Health Care - We provide totally subsidized/covered health care.Remote Policy - Dedicated to your work-life balance, we offer 2 days remote and 3 days per week at the office. Why? Because we think that magic occurs when people work together, but we also believe that there are times when you need to be able to work without interruption.Work environment - A stimulating workplace that fosters creativity, autonomy and leadership. #J-18808-Ljbffr