Synthesia
Multimodal · AI video / synthetic avatars
Currently tracking 12 active AI roles, up 25% versus the prior 4 weeks. Primary focus: Ship · Engineering.
Multimodal · AI video / synthetic avatars
Synthesia currently has 17 active AI-related job listings. The majority of these roles, 47%, are in the application stage. Engineering is the most frequent function, with 10 listings, followed by Research with 5. The company is hiring in the United Kingdom and the United States. Frequent tech tags include model_serving, multimodal, and inference_infra, suggesting a focus on deploying and optimizing multimodal AI models. Synthesia has posted 3 new AI roles in the last 30 days, a 62% decrease compared to the previous 30-day period.
Synthesia currently has 20 active AI-related roles in our index. The most common open titles are: Application Security Engineering Manager, Commercial Data Scientist, Engineering Manager (Avatars), Infrastructure Engineer, Principal ML Platform Engineer. Most positions are in Engineering and Research.
Synthesia's active AI hiring is concentrated in: application (35%), post-training (20%), agents (15%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Synthesia is hiring AI talent in: United Kingdom (3 roles), United States (1 role).
Job postings at Synthesia most frequently reference: model serving, multimodal, agent orchestration, llm observability, inference infra.
In the past 30 days, Synthesia has posted 4 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Principal Research Engineer Synthesia is seeking a Principal Research Engineer to own the end-to-end technical direction for offline video generation, bridging pre-training and post-training stages. This role involves defining long-term strategy, resolving complex technical problems, and accelerating the delivery of research to product. The ideal candidate has a proven track record of training large-scale generative video models from scratch and extensive experience with post-training techniques. | PretrainPost-train | 9 |
| Staff Research Engineer - Video Post Training Staff Research Engineer role at Synthesia, a leading AI video platform, focusing on post-training generative video creation. The role involves applying and adapting foundational models, implementing optimization techniques, and ensuring high-quality output for synthetic humans. Requires expertise in diffusion models, computer vision, and Python. | Post-train | 9 |
| Senior Research Engineer - Video Foundation Models (Pre - Training) Research Engineer focused on pre-training foundation models for AI video generation, working on large-scale generative modeling, distributed systems, and production engineering. The role involves advancing training recipes, scaling distributed systems, improving evaluation frameworks, and optimizing inference for production deployment. | PretrainServe | 9 |
| Senior Research Engineer - Interactive Avatars Research Engineer focused on avatar-centric interactive video diffusion models, aiming to turn breakthrough ideas into real product capabilities. Responsibilities include adapting diffusion models, developing real-time streaming methods, working on the perceptual layer for user interaction, improving visual quality, and building evaluation frameworks. Requires strong ML/CV background, PyTorch proficiency, and Python engineering skills. | Post-trainServe | 9 |
| Senior Research Engineer - Audio Post-Training Research Engineer role focused on post-training optimization of generative speech and voice synthesis models to achieve production-level quality, speed, and robustness. Involves adapting models for new inputs, fine-tuning with advanced techniques (DPO, LoRA), implementing post-training optimizations (quantization, pruning, distillation), integrating novel architectures, and designing evaluation metrics for TTS systems. | Post-trainServe | 8 |
| Senior Research Engineer - Data Synthesia is seeking a Senior Research Engineer focused on data to manage the lifecycle of data for AI researchers. This role involves sourcing, processing, and delivering datasets that power their generative AI models, with a focus on video, image, and audio data. The position is at the intersection of applied research, data engineering, and ML infrastructure, emphasizing data quality and curation to improve model performance. | Data | 7 |