Synthesia
Multimodal · AI video / synthetic avatars
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.
Currently tracking 12 active AI roles, up 25% versus the prior 4 weeks. Primary focus: Ship · Engineering.
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 Engineer, Machine Learning Staff Engineer, Machine Learning at Synthesia, a leading AI video platform. This role focuses on building and owning features for the new Interactive Agents product, a conversational video platform. Responsibilities include working directly with LLMs, prompt engineering, fine-tuning, and building ML infrastructure for agentic AI solutions. The role is end-to-end, involving ideation, product direction, and evaluating work using established data pipelines. Requires at least 7 years of experience, with 3+ at staff level, and experience in high-performing, scaled engineering teams building enterprise-grade SaaS products. | AgentServe | 8 |
| 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 |
| Application Security Engineering Manager Engineering Manager for Application Security team focused on building AI-native security tooling, embedding security into the development lifecycle at scale, and managing a team of senior engineers. The role requires technical depth in threat modeling, agentic security tooling, and application risk, alongside strategic ownership of AppSec strategy and scaling. | Agent | 7 |
| Staff Fullstack Engineer, Avatars Staff Fullstack Engineer role at Synthesia, an AI video platform company. The role focuses on building end-to-end product features in the Avatars and Generative Media domain, integrating frontend, backend, and AI model capabilities. Responsibilities include owning features from idea to production, working with both third-party and in-house AI models, and tackling 0 to 1 problems. Experience with AI/ML products, experimentation, or feature flagging is a plus. | Ship | 7 |
| Staff Software Engineer, Voices Staff Software Engineer focused on the core systems for Synthesia's AI video platform, specifically script preview and voice generation. The role involves building and operating backend services that orchestrate multiple TTS providers and in-house models, ensuring reliability, consistency, and quality. Responsibilities include designing persistence systems, improving voice data handling, and working on voice discovery/recommendation features, including evaluation and observability systems. The role requires strong backend engineering skills, a product mindset, and collaboration with R&D and frontend teams. | ShipServe | 7 |
| 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 |
| Engineering Manager (Avatars) Engineering Manager to lead the delivery of complex AI-powered video and generative media systems, focusing on avatar rendering and AI model integration. The role involves breaking down research initiatives, managing senior engineers, scaling the team, and ensuring system reliability and performance for an enterprise-grade SaaS product. | Ship | 7 |