At a Glance
- Tasks: Join a team tackling cutting-edge challenges in Generative AI and interactive video.
- Company: Synthesia, the leading AI video platform trusted by top global brands.
- Benefits: Competitive salary, stock options, hybrid work, and 25 days annual leave.
- Other info: Dynamic culture focused on innovation, collaboration, and personal growth.
- Why this job: Shape the future of AI video agents and make a real-world impact.
- Qualifications: Strong ML background, hands-on experience with diffusion models, and Python skills.
The predicted salary is between 48000 - 84000 £ per year.
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.
About the role
As 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 avatar-centric interactive video diffusion models. 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 60,000 businesses. This is a unique opportunity for experts in machine learning and diffusion models to shape the future of AI video agents that can think, act, and react like humans. As part of our Interactive Avatars Team, you’ll work on cutting‑edge research with a clear focus on turning breakthrough ideas into real product capabilities. You’ll join a team that moves fast, iterates often, and builds models that ship and make a meaningful impact.
Example tasks and responsibilities include:
- Adapt diffusion models to incorporate diverse conditioning signals (e.g., audio, motion, interaction cues).
- Develop methods for streaming infinitely long video sequences at real‑time rates.
- Work on the perceptual layer of interactive agents, including understanding user audio and generating appropriate contextual reactions.
- Improve lip‑sync accuracy, motion realism, and overall visual quality in video diffusion models.
- Build robust evaluation frameworks and test suites to enable continuous quality tracking.
- Collaborate closely with our data team to define data needs and ensure high‑quality datasets.
- Stay up to date with research in world models, interactive human/agent modeling, diffusion models, and related areas.
What we’re looking for:
- Comfortable owning and executing on the responsibilities listed above.
- Strong ML (e.g., diffusion, GANs, VAEs) and computer vision background with relevant industry experience.
- Hands‑on experience with diffusion models (ideally avatar‑centric or video‑focused) and up to date with recent advances.
- Proficient in PyTorch and familiar with modern ML frameworks and tooling.
- Strong Python engineering skills, confident with git and version control, and a commitment to clean, maintainable research code.
- Outcome‑driven, detail‑oriented, and motivated to push state‑of‑the‑art research into real product impact.
- Clear communicator of hypotheses, experiments, and results.
What will make you stand out:
- Experience with audio‑conditioned video diffusion models and deep knowledge of recent video DiT architectures.
- Demonstrated ability to own the full model development pipeline end to end, from data preparation to model design, training, and evaluation.
- A strong publication record in areas such as world models, interactive agents, or video diffusion models.
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.
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.
Serving 50,000+ customers (and 50% of the Fortune 500)
We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more.
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.
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.
The good stuff...
- Competitive compensation (salary + stock options + bonus)
- 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
Senior Research Engineer - Interactive Avatars employer: Synthesia
At Synthesia, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Greater London. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work on cutting-edge AI technologies, making every day at Synthesia both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Research Engineer - Interactive Avatars
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Synthesia. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you have a portfolio or projects related to AI and video diffusion models, make sure to highlight them during interviews or networking events.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML knowledge and coding skills. Practice common questions and scenarios that relate to the role of a Research Engineer.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Synthesia.
We think you need these skills to ace Senior Research Engineer - Interactive Avatars
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Research Engineer role. Highlight your experience with machine learning, diffusion models, and any relevant projects that showcase your skills. We want to see how you fit into our team!
Showcase Your Projects:Include links to your GitHub or any other portfolio showcasing your work. If you've got hands-on experience with PyTorch or have developed any innovative models, let us know! We love seeing real examples of your expertise.
Be Clear and Concise:When writing your application, keep it straightforward. Clearly communicate your hypotheses, experiments, and results. We appreciate clarity and want to understand your thought process without sifting through jargon.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Synthesia
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially diffusion models and GANs. Be ready to discuss your hands-on experience with these technologies and how they relate to avatar-centric applications.
✨Showcase Your Projects
Prepare to talk about specific projects you've worked on that demonstrate your skills in Python and PyTorch. Highlight any end-to-end model development experiences, from data preparation to evaluation, as this will resonate well with the team.
✨Communicate Clearly
Practice explaining complex ideas in a simple way. Synthesia values clear communication, so be prepared to articulate your hypotheses, experiments, and results effectively during the interview.
✨Stay Current
Familiarise yourself with the latest research in interactive agents and video diffusion models. Being able to discuss recent advancements will show your passion for the field and your commitment to staying at the forefront of AI technology.