AI Research Engineer

Join our R&D team to push the boundaries of generative video. As an AI Research Engineer at a late-stage seed / early Series A company, you will move fast from prototype to production, integrating state-of-the-art diffusion models, LLMs, and multimodal systems into our video creation workflow. You will work directly with video technology, encoding pipelines, and GPU-optimized inference to enable users to generate professional content from simple prompts.

What you'll do

• Research and implement novel approaches for consistent character, style, and motion generation in video.
• Fine-tune open-source models (Stable Diffusion, Llama, video diffusion, etc.) for specific video production tasks.
• Optimize model inference for production environments, balancing latency, cost, and quality on GPU hardware.
• Collaborate with video engineers to integrate AI outputs cleanly into FFmpeg, HLS, and rendering pipelines.
• Build automated pipelines for dataset curation, model evaluation, and continuous improvement.
• Move quickly from research spike to shipped feature in a resource-constrained, high-impact environment.

Requirements

• MS or PhD in Computer Science, AI, or related field (or equivalent experience).
• Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Experience with generative models (GANs, Diffusion Models, VAEs) and computer vision.
• Familiarity with video codecs, container formats, and encoding workflows.
• Comfort profiling and optimizing inference on CUDA, TensorRT, or similar GPU runtimes.
• Ability to read and implement research papers, then productionize the result.