Research Engineer (Generative Video)

• Mirage is seeking an ML Engineer to build and scale the systems powering our video generation models. You’ll work on novel modeling approaches, training objectives, scaling strategies, and inference optimization and efficiency to bring cutting-edge models into production
• This role sits at the intersection of research and systems engineering, focusing on making advanced models faster, more efficient, and capable of ultra-low latency, real-time generation
• Train and optimize large-scale video and multimodal models
• Improve efficiency across training and inference (memory, latency, cost)
• Implement techniques such as distillation, quantization, and pruning to aggressively accelerate diffusion and autoregressive generation
• Build and maintain distributed training systems
• Optimize GPU utilization, parallelism, and throughput
• Develop tooling for experimentation, evaluation, and debugging
• Translate research models into robust, production-ready systems
• Monitor and improve model performance in real-world usage

Benefits

• Anything you need to do your best work
• Comprehensive medical, dental, and vision plans
• We’ve done team off-sites to places like Paris, London, Park City, Los Angeles, and Nashville with more planned in the future- 2+ years of professional industry experience
• Strong debugging and performance profiling skills
• Strong experience in deep learning systems and infrastructure
• Ability to move quickly from prototype to production
• Experience scaling and optimizing large models under low-latency inference constraints
• BS/MS/PhD in CS, ML, or related field
• Expertise in PyTorch, CUDA, Triton, and distributed training (FSDP, etc.)