At a Glance
- Tasks: Join a team creating lifelike synthetic humans through cutting-edge AI video technology.
- Company: Synthesia, the leading AI video platform trusted by Fortune 100 companies.
- Benefits: Competitive salary, stock options, 25 days leave, and hybrid work options.
- Other info: Dynamic culture focused on innovation and collaboration with excellent career growth.
- Why this job: Make a real impact in the fast-paced world of generative AI.
- Qualifications: 3+ years in Computer Vision, expertise in generative models, and strong Python skills.
The predicted salary is between 63000 - 77000 £ per year.
Benefits
- Stock options
- 25 days annual leave
- Public holidays
- Hybrid work policy
- Social and planning events
- Office locations in London, Amsterdam, Zurich, Munich
Compensation and Details
- Job Type Permanent
- Work Pattern Full-time
- Work Location Remote
- Seniority Senior
- Education Degree
- Posted 23 Apr 2026 (3 months ago)
About the Company
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.
- 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 optimisation 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 optimisation 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. Here’s why,
Our Culture
At Synthesia 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.
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.
You can find out more about these principles here.
Serving 50,000+ customers (and 50% of the Fortune 500)
We’re trusted by leading brands such as Heineken, Zoom, Xerox, Mc Donald’s and more. Read stories from happy customers and what 1,200+ people say on G2.
Proprietary AI Technology
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.
Learn more about our AI Research Lab and the team behind.
AI Safety, Ethics and Security
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.
Learn more about our commitments to AI Ethics, Safety & Security.
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
- You can see more about Who we are and How we work here: https://www. synthesia. io/careers
- #J-18808-Ljbffr
Staff Research Engineer - Video Post Training employer: Data Science Jobs UK
Snowflake is an exceptional employer that fosters a dynamic and inclusive work culture, empowering employees to thrive in their roles. With a strong focus on professional development, the company offers extensive learning opportunities and encourages collaboration across teams, making it an ideal place for those looking to make a meaningful impact in the tech industry. Located in EMEA, employees benefit from a vibrant environment that promotes innovation and growth.
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We think this is how you could land Staff Research Engineer - Video Post Training
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We think you need these skills to ace Staff Research Engineer - Video Post Training
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How to prepare for a job interview at Data Science Jobs UK
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