Research Engineer, Generative Video
Union Square, New York City · 2+ years experience · Full-time · Posted Sep 28, 2026
At a glance
- Experience
- 2+ years experience
- Employment
- Full-time
- Location
- Union Square, New York City
About the role
- Mirage is seeking an ML Engineer to build and scale the systems powering their video generation models.
- The role focuses on novel modeling approaches, training objectives, scaling strategies, and inference optimization to bring cutting-edge models into production.
- The position sits at the intersection of research and systems engineering, aiming for 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 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.)
- 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
- 401K with employer match
- Commuter Benefits
- Catered lunch multiple days per week
- Dinner stipend every night for late work
- Grubhub subscription
- Health & Wellness Perks
- Multiple team offsites per year
- Monthly team events
- Generous PTO policy
Workplace
- Role requires being in-person at the NYC HQ located in Union Square
Skills
- PyTorch
- CUDA
- Triton
- FSDP
- Deep Learning
- Distributed Training
- Autoregressive Generation
- Quantization
- Pruning
