Research Engineer, Synthesia

• We are looking for experienced Research Engineers, someone who knows how to deliver practical solutions and thrives working in a busy start-up environment!
• 3+ years industry experience in Computer Vision (incl. Motion Tracking). Having a related PhD is an advantage!
• Practical Experience and strong knowledge of Geometry tracking (ideally for humans)
• Experience in 3D computer vision and Computer graphics, you understand multiple view geometry
• Experience dealing with / setting up large Data-sets
• Excellent coding skills in Python - our teams work full-stack, you will deliver solutions from a concept to production-ready code
• Experience with most modern frameworks for deep learning (PyTorch) as well as for software development (Git, Linux)
• Outstanding communication skills
• You will be someone who loves to push the boundaries and uncover brand new solutions to challenging problems in the AI field. You are used to working in a fast-paced start-up environment
• You will have experience with the software development life cycle, from ideation through implementation, to testing and release
• You will also have extensive knowledge and experience in the domain of multiple view geometry and non-rigid motion tracking
• If you are a domain expert on monocular and multi-view tracking, if you know the state-of-the-art and would be able to define how we address hand tracking - then we want to talk to you!

Desirable

• We are looking for a Research Engineer, with passion for working on cutting edge problems that can help us create highly realistic, emotional and life-like synthetic humans through text-to-video
• Our aim is to make video content creation available for all - not only to studio production!
• In this position, you will join our R&D team working on introducing state-of-the-art solutions for human tracking
• You will join a group of more than 40 Researchers and Engineers in the R&D department
• Join the team to build a state-of-the-art human tracking capability
• Work on capturing high resolution, high fidelity, photo-real digital humans
• Build a pipeline for accurate tracking of the face, body, hands surface of humans in motion
• Support the production and delivery of high quality data-sets
• Implement data pipelines for image and geometry data processing
• Implement fast data processing pipelines for human tracking in multi-view video
• Develop production quality code to implement methods into working systems
• Support and develop best practises in development across the team
• Own the full lifecycle from concept, data, code, experiment to delivery