Research Engineer, Generative Video

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 aggressively 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

About the Role

Mirage is seeking an ML Engineer to build and scale the systems powering our video generation models. You’ll work on novel modeling approaches, training objectives, scaling strategies, and inference optimization and efficiency to bring cutting-edge models into production.

This role sits at the intersection of research and systems engineering, focusing on making advanced models faster, more efficient, and capable of ultra-low latency, real-time generation.

Responsibilities

• What makes you a great fit
• 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 every night if you're working late and want a bite!
• Grubhub subscription

Health & Wellness Perks

Multiple team offsites per year with team events every month

Generous PTO policy

Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Please note benefits apply to full time employees only.