Staff Research Engineer - Video Post Training

About Synthesia

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.

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.

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 Synthesia, we’re passionate about building, not talking, planning, or politicizing. We strive to hire the smartest, kindest, and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback, and structure our work to empower everyone to go as fast as possible. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.

Benefits:

• 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