# Research Engineer, Generative Video

**Company:** [Mirage](https://hotfix.jobs/companies/mirage)
**Location:** New York, NY
**Role:** ML Engineering
**Salary:** $175k – $275k/yr
**Experience:** 5+ years
**Skills:** Machine Learning, Deep Learning, PyTorch, CUDA, triton, Distributed Training, fsdp, diffusion models, autoregressive models, model quantization, model pruning, gpu optimization, performance profiling, multimodal models, inference optimization
**Posted:** 2026-08-10

> Build and scale generative video and multimodal models, optimizing training and inference for low latency, efficiency, and production reliability. The role requires deep learning systems expertise, strong PyTorch/CUDA experience, and at least two years of professional industry experience.

## Job Description

## Responsibilities
- Train and optimize large-scale video and multimodal models.
- Improve efficiency across training and inference, including memory, latency, and cost.
- Implement distillation, quantization, and pruning techniques 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, or PhD in Computer Science, Machine Learning, or a related field.
- 2+ years of professional industry experience.
- Strong experience with deep learning systems and infrastructure.
- Expertise in PyTorch, CUDA, Triton, and distributed training, including FSDP.
- Experience scaling and optimizing large models under low-latency inference constraints.
- Strong debugging and performance-profiling skills.
- Ability to move quickly from prototype to production.

## Benefits
- Comprehensive medical, dental, and vision plans.
- 401(k) with employer match.
- Commuter benefits.
- Catered lunch multiple days per week.
- Dinner stipend when working late.
- Grubhub subscription.
- Health and wellness perks.
- Multiple team offsites per year and monthly team events.
- Generous PTO policy.

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