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This listing was closed on Aug 13, 2026.
Browse Open JobsML Engineer, Generative Video
Summary by AIEngineer.careers
ML Engineer, Generative Video is a Generative AI 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 building an AI-native video platform. We are seeking an ML Engineer to build and scale video generation models, working on novel modeling approaches and inference optimization. This role involves training large-scale models and translating research into production.
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 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
Requirements
- BS/MS/PhD in CS, ML, or related field
- 2+ years of professional industry experience
- Strong experience in deep learning systems and infrastructure
- Expertise in PyTorch, CUDA, Triton, and distributed training (FSDP, etc.)
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.
