Join Synthesia as a Senior Research Engineer to work on avatar-centric interactive video diffusion models in a hybrid setting.
Posted by employer 9 months ago
First seen on Joblaze 14 hours ago
Last verified on the company career page 14 hours ago
Skills & Technologies
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AI in the day-to-day
Synthesia develops products to enhance visual communication and enterprise skill development using AI.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Research Engineer at Synthesia, the individual will focus on developing and refining interactive video diffusion models, particularly for avatar-centric applications. Key skills include expertise in machine learning, especially diffusion models, and proficiency in Python and PyTorch. This position is ideal for experienced professionals with a strong background in computer vision and a track record of managing the full model development pipeline. The team operates in a fast-paced environment, emphasizing collaboration and the practical application of research.
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From the original posting
As a Senior 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.
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.
Attractive compensation
Hybrid work setting with an office in London, Zurich, and Munich
25 days of annual leave + public holidays
Work in a great company culture with the option to join regular planning and socials at our hubs
A generous referral scheme when you know people that are amazing for us
Strong opportunities for your career growth
You can see more about Who we are and How we work here: https://www.synthesia.io/careers
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