Senior Applied Research Engineer – Video

🔥 1 minute ago

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

📚 Research Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Synthesia

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2017

📣 Marketing

💼 Consulting

📦 Logistics

🔥 Funding within the last year

💰 $200M Series E - Synthesia on 2025-10

Marketing • Consulting • Logistics

<Synthesia> Synthesia is a SaaS AI video platform that enables businesses to create studio-quality videos without cameras, microphones, actors, or studios by using AI avatars and synthetic voiceovers. The platform supports 160+ languages, one-click translation/localization, an AI screen recorder, brand management, collaboration and analytics, and enterprise-grade security (SOC 2 Type II, GDPR). It’s marketed primarily to teams and enterprises for training, sales enablement, marketing, knowledge management and internal communications, helping companies scale video production while reducing time and cost.

📋 Description

• Build the next generation of production-grade foundation models for human-centric video generation • Own and execute end-to-end research and engineering projects from hypothesis to production impact • Develop and scale latent video diffusion models for human-centric video generation • Design conditioning mechanisms for pose, emotion, script, and camera control while preserving fidelity • Advance distributed training strategies using DDP, FSDP, DeepSpeed, and sequence parallelism • Improve training stability at multi-node scale • Design evaluation frameworks combining automated metrics and structured human evaluation • Optimize inference for low latency, high resolution, and cost efficiency • Run controlled ablations and experiments to guide modeling decisions • Maintain engineering standards for reproducibility, experiment tracking, CI/CD, and monitoring • Collaborate across teams and present results scientifically

🎯 Requirements

• Strong experience training deep learning models at scale • Strong Python and PyTorch skills • Hands-on experience with diffusion models; image-domain experience required and video preferred • Experience with large-scale multi-GPU / multi-node training • Good understanding of distributed training, including DDP, FSDP, DeepSpeed, or similar • Ability to design controlled experiments and interpret noisy results • Experience with video diffusion models (nice-to-have) • Experience in avatar or human-centric generation (nice-to-have) • Familiarity with world / interactive models (nice-to-have) • Experience with GANs or VAEs (nice-to-have) • Experience optimizing inference systems for production • Experience with Python, PyTorch, and CUDA • Experience with DeepSpeed, distributed training and inference, sequence parallelism, AWS, SLURM, Docker, GitHub, and CI/CD pipelines • Ability to communicate clearly and present results scientifically • Ability to operate independently while collaborating actively across teams • Authorization to work in the country of employment without visa sponsorship • No ongoing employer support required to maintain the right to work

🏖️ Benefits

• Work remotely in Europe • Opportunity to work on production-scale video foundation models • Direct product impact on models used by tens of thousands of businesses worldwide • Work on human-centric video generation with real-world impact • Highly technical, high-ownership environment where work ships