Synthesia
501 - 1000 employees
Founded 2017
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
🔥 Funding within the last year
💰 $200M Series E - Synthesia on 2025-10
Artificial Intelligence • SaaS • B2B
<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.
Staff Research Engineer – Multimodal Generative Modelling
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🔥 0 minutes ago
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Synthesia
501 - 1000 employees
Founded 2017
🤖 Artificial Intelligence
☁️ SaaS
🤝 B2B
🔥 Funding within the last year
💰 $200M Series E - Synthesia on 2025-10
Artificial Intelligence • SaaS • B2B
<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
• Shape our roadmap to create new model capabilities and unlock new functionality for our customer base, on both short and long time horizons. • Propose novel multi-modal system architectures (especially text and voice). • Develop and evaluate streaming and conversational systems for low-latency, interactive voice-video synthesis. • Design solutions that reinforce emotional expressiveness and natural interaction. • Implement and bring designs to life, from pretraining through post-training. • Ship models to production with optimised runtime to serve customers, and address their feedback thereafter.
🎯 Requirements
• Strong understanding of generative modelling, ideally applied to sequential or multimodal data. • Hands-on experience with large language models or similar transformer-based architectures. • High proficiency in PyTorch, including distributed training and model optimization. • A solid grasp of time-series modeling and tokenization, preferably in the context of audio, speech, or video. • Proven experience training deep learning models end-to-end, from data preparation through evaluation. • Strong general software engineering skills.
🏖️ Benefits
• Health insurance • Flexible working arrangements • Professional development opportunities • Equipment allowances
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