Senior Research Engineer - Video Post Training
Listed on 2026-01-16
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Software Development
AI Engineer, Machine Learning/ ML Engineer
Senior Research Engineer - Video Post Training
Join to apply for the Senior Research Engineer - Video Post Training role at Synthesia.
Welcome to the video first world
From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content.
Today, people want to watch and listen, not read — both at home and you’re reading this and nodding, check out our brand video
.
Despite the clear preference for video, communication and knowledge sharing in the business environment are still text, largely because high‑quality video production remains complex and challenging to scale—until now….
Meet Synthesia
We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high‑quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently.
We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2
.
In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top‑tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook.
What You’ll Do At SynthesiaAs a 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:
- Applying DPO (direct preference optimisation) to pre‑trained models.
- Adapting models to extend their capabilities, for instance, by changing conditioning inputs.
- Building solutions for dubbing and evaluating the quality of lip‑sync.
- Implementing post‑training optimisation techniques, such as quantisation, pruning and distillation, to improve the efficiency of diffusion models used in avatar generation.
- Analyzing and addressing challenges related to model performance, ensuring high‑quality output in avatar rendering.
- Staying updated with the latest research and advancements in diffusion models, adversarial networks and post‑training optimisation 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.
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. Here’s why,
Our cultureAt Synthesia we’re passionate about building, not talking, planning or…
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