Senior Research Engineer - Interactive Avatars

SLAMcore; Deutschland; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

25 days of annual leave + public holidays

Great company culture

Remote work options

Zusammenfassung

SLAMcore is looking for a Research Engineer to work within the R&D Department on cutting-edge challenges in AI video technology. You will adapt and develop models relating to interactive video systems and collaborate with a team dedicated to impactful research. The ideal candidate has robust experience in machine learning, particularly with diffusion models, and strong programming skills in Python and PyTorch. This position offers competitive compensation, a hybrid work model, and various benefits.

Qualifikationen

• Strong ML background with relevant industry experience.
• Hands-on experience with diffusion models.
• Proficient in PyTorch and familiar with modern ML frameworks.

Aufgaben

• Adapt diffusion models to incorporate diverse conditioning signals.
• Develop methods for streaming infinitely long video sequences at real-time rates.
• Improve lip-sync accuracy and overall visual quality in video diffusion models.

Kenntnisse

Machine Learning

Computer Vision

PyTorch

Python

Tools

Git

Jobbeschreibung

Location

London

Employment Type

Full time

Location Type

Hybrid

Department

Research and Development

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. 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.

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