Synthesia

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.

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.

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.

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.

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.