20 hours ago
New York, NY, USAMid Level
Base Salary
$175k - $300k/yr
Responsibilities
- Train and optimize large-scale video and multimodal models.
- Improve training and inference efficiency across memory usage, latency, and cost.
- Implement distillation, quantization, and pruning 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 such as 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 for employees working late.
- Grubhub subscription.
- Health and wellness perks.
- Multiple team offsites per year and monthly team events.
- Generous PTO policy.
- Full-time employee benefits apply only to full-time employees.
- All roles require in-person work 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.