Research Engineer – Generative Video

About the role

Mirage is looking for a Research Engineer to advance its generative video platform. You will bridge cutting‑edge research and production‑grade systems, making high‑performance video generation models fast, efficient, and ready for real‑time use.

Key responsibilities

• Design, train, and optimize large‑scale video and multimodal models.
• Improve training and inference efficiency (memory, latency, cost) using techniques such as distillation, quantization, and pruning.
• Build and maintain distributed training pipelines and optimize GPU utilization, parallelism, and throughput.
• Develop tooling for experimentation, evaluation, and debugging.
• Translate research prototypes into robust, production‑ready services.
• Monitor and continuously improve model performance in real‑world deployments.

Required profile

• BS/MS/PhD in Computer Science, Machine Learning, or a related field.
• 2+ years of professional experience in deep‑learning systems.
• Strong debugging and performance‑profiling abilities.
• Ability to move quickly from prototype to production.

Required skills

• PyTorch
• CUDA
• Triton
• Distributed training frameworks (e.g., FSDP)
• Deep‑learning systems and infrastructure
• GPU utilization and parallelism optimization
• Debugging and performance profiling

What we offer

• Comprehensive medical, dental, and vision coverage.
• 401(k) with employer match.
• Commuter benefits and catered lunches.
• Dinner stipend for late‑night work and Grubhub subscription.