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.

In this position, you’ll join our Post-Training Team that works on generative video creation. You will make it possible to apply our foundational models to production use cases. This includes projects such as:

• 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.

What we're looking for

• 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

Why join us?

We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one.

At [Employer hidden — sign up to reveal] we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions.

Serving 50,000+ customers (and 50% of the Fortune 500) – trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more.

Proprietary AI technology built in-house by a team of world-class AI researchers and engineers.

AI safety, ethics, and security are fundamental to our mission. People first. Always.

The good stuff...

• Competitive compensation (salary + stock options)
• Hybrid work setting with an office 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