Research Engineer Generative Video
MirageVisit Mirage website
Mirage is an AI video company building creative tools for video, motion, and sound.
New York City, United States
Funding history
About Mirage
Mirage develops AI-native video-creation products, including the Captions app and Tesseract runtime, alongside foundation models for expressive video generation.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will train and optimize large-scale video and multimodal models. You will improve training and inference efficiency, build distributed training systems, optimize GPU throughput, develop experimentation tooling, and translate research models into reliable production systems.
Requirements
- BS, MS, or PhD in computer science, machine learning, or a related field
- 2+ years of professional industry experience
- Experience in deep learning systems and infrastructure
- PyTorch
- CUDA
- Triton
- Distributed training experience
- Experience scaling and optimizing large models under low-latency inference constraints
- Debugging and performance profiling skills
Responsibilities
- Train and optimize large-scale video and multimodal models
- Improve training and inference efficiency
- Implement distillation, quantization, and pruning techniques
- Build and maintain distributed training systems
- Optimize GPU utilization, parallelism, and throughput
- Develop tooling for experimentation, evaluation, and debugging
- Translate research models into production-ready systems
- Monitor and improve model performance in real-world usage
Benefits
- Medical, dental, and vision plans
- 401K with employer match
- Commuter benefits
- Catered lunch multiple days per week
- Late-night dinner stipend
- Grubhub subscription
- Health and wellness perks
- Multiple team offsites and monthly team events
- Generous PTO policy