Research Engineer - Video Post Training

About the role

As a Staff Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on creating highly realistic, emotional and life-like Synthetic humans through text-to-video. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 55,000 businesses.

If you are an expert in post-training Diffusion models for generative AI, this is your chance. This is an opportunity to work for a company that is impacting businesses at a rapid pace across the globe.

• Apply DPO (direct preference optimisation) to pre-trained models.
• Adapt models to extend their capabilities, for instance, by changing conditioning inputs.
• Build solutions for dubbing and evaluate the quality of lip-sync.
• Implement post-training optimization techniques, such as quantization, pruning and distillation, to improve the efficiency of diffusion models used in avatar generation.
• Analyze and address challenges related to model performance, ensuring high-quality output in avatar rendering.
• Stay updated with the latest research and advancements in diffusion models, adversarial networks and post-training optimization methods.

• You have a background in Computer Vision / Computer Science and 3+ years of industry experience.
• You have knowledge of recent advancements in post-training techniques (for instance distillation, adversarial networks and efficient attention).
• You have worked with generative models for images and/or videos (Diffusion/GAN) preferably in the avatar domain.
• You are interested in doing research, trying new things and pushing the boundaries, going beyond what’s already known.
• You have experience in using most modern frameworks for machine learning and deep learning.
• You have great coding skills in Python and you care about writing clean code.
• You have experience with SDLC tools (Git), preferably CI/CD.

• Competitive compensation (salary + stock options).
• Hybrid work setting with offices in London, Amsterdam, Zurich, Munich, or remote in Europe.
• 25 days of annual leave + public holidays.
• Great company culture with the option to join regular planning and socials at our hubs.
• + other benefits depending on your location.