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

What makes you a great fit

BS/MS/PhD in CS, ML, or related field

Research Engineer, Generative Video

Responsibilities

Qualification

Required

Benefits

Company

Mirage

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