5 hours ago
New York, NY, USAMid Level
Base Salary
$175k - $275k/yr
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
- At least 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
- 401K with employer match
- Commuter benefits
- Catered lunch multiple days per week
- Dinner stipend every night when working late
- Grubhub subscription
- Health and wellness perks
- Multiple team offsites per year and monthly team events
- Generous PTO policy
- In-person work required at the NYC headquarters in Union Square
Tech Stack
Categories
About Mirage
At Mirage, we’re building full-stack foundation models and products that redefine video creation. Over 20 million content creators and businesses use Captions to reach their full creative and commercial potential.