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 |
|---|---|---|
| Principal ML Platform Engineer Principal ML Platform Engineer role focused on building and operating systems for training, serving, and deploying generative models reliably and efficiently. The role emphasizes infrastructure, backend systems, tooling, reliability, scalability, performance, and resource efficiency, with a growing focus on agent-oriented workflows. This is a hands-on IC role with significant ownership in shaping the ML platform's evolution. | ServeData | 7 |
| Infrastructure Engineer Experienced DevOps/SRE/Platform Engineer to join the Cloud Infra team, responsible for maintaining and scaling Kubernetes (EKS) clusters, managing AWS/GCP environments, owning CI/CD systems (GitHub Actions), defining Infrastructure as Code (Terraform/Terragrunt), strengthening observability (Datadog), and driving FinOps practices in a fast-moving AI video company. The role focuses on enabling product engineers to build and deploy AI technologies. |
| Serve |
| 5 |