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Research Engineer, Generative Video
Summary by AIEngineer.careers
Research Engineer, Generative Video is a AI Research Engineer role (full-time). with Mirage. in NEW YORK, US. Compensation shown: $175K–$275K. Imported listing (source: zerogtalent.com). Apply on the employer's site (zerogtalent.com).
Imported listing (source: zerogtalent.com) · Apply on zerogtalent.com
NEW YORK · US
$175K–$275K
Full-time
MID
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from zerogtalent.com
Mirage is an AI-native video platform seeking a Research Engineer to build and scale systems powering generative video models. The role focuses on training and optimizing large-scale video and multimodal models, improving inference efficiency, and bringing cutting-edge research models into production. This position sits at the intersection of research and systems engineering, targeting ultra-low latency, real-time generation.
Responsibilities
- 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 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
Requirements
- BS/MS/PhD in CS, ML, or related field
- 2+ years of professional industry experience
- Strong experience in deep learning systems and infrastructure
Mirage
New York · US · 54+ employees
Mirage (formerly known as Captions) is an AI company redefining video creation. It builds full-stack foundation models, the Captions app, and an API that allows users to translate natural language into high-quality, photorealistic video with features like automated captions and digital twins.
