Currently tracking 12 active AI roles, up 25% versus the prior 4 weeks. Primary focus: Ship · Engineering.
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 |
|---|---|---|
| Staff Backend Engineer, Voices Staff Backend Engineer focused on the core speech and voice generation experience for Synthesia's AI video platform. The role involves designing and delivering features across the script preview and voice orchestration stack, integrating with TTS providers, building recommendation systems, and ensuring voice output quality. Responsibilities include backend systems for TTS provider orchestration, frontend experiences for voice selection, and voice discovery/recommendation systems. The role emphasizes working on 0 to 1 problems, collaborating with product and AI teams, and shipping features end-to-end. | Post-trainServe | 7 |