ML Engineer, Generative Video

About the Company

Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. We are an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media.

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 accelerate 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/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

Benefits

• Comprehensive medical, dental, and vision plans
• 401K with employer match
• Commuter Benefits
• Catered lunch multiple days per week
• Dinner stipend for late nights
• Grubhub subscription
• Health & Wellness Perks
• Multiple team offsites and monthly team events
• Generous PTO policy