Research Engineer, Generative Video
MirageGenerative Video company
New York, United StatesMid
Index Ventures
Kleiner Perkins
Andreessen Horowitz
Sequoia Capital
HubSpot Ventures
Adobe Ventures
Data & AI
About the role
TL;DR
Build and scale systems for generative video models, focusing on efficiency and low-latency inference.
- •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.
- •Key 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 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
Required skills
PythonPyTorchGitComputer Vision
Nice-to-have skills
LLMs
Domain expertise
aimediaproductivity
Benefits & perks
Comprehensive medical, dental, and vision plans, 401K with employer match, Commuter Benefits, Catered lunch multiple days per week, Dinner stipend every night if you're working late and want a bite!, Grubhub subscription, Health & Wellness Perks, Multiple team offsites per year with team events every month, Generous PTO policy
Tech stack
PythonPyTorchGit