Staff Research Engineer - Interactive Avatars
Synthesia is hiring a Staff Research Engineer - Interactive Avatars. Level rates it ; you can apply on Synthesia.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- The posting allows some remote work.
- Tools and skills the posting cites include PyTorch, computer vision and AI safety.
- Level classifies it as a lead role.
- Level lists 33 other open roles at Synthesia.
AI in this role
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 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. 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, McDonald’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 + 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
You can see more about Who we are and How we work here: https://www.synthesia.io/careers
LI-MD1
How we rate this
Staff Research Engineer - Interactive Avatars at Synthesia rates 93 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a research question you investigated. What did you find?
- What's a project where you used PyTorch hands-on?
- How would you decide a model or AI system is ready to ship?
Adapt your resume
- List these exact terms on your resume: Computer vision, AI Safety, AI Research, and PyTorch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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