ML Engineer, Generative Video

Mirage; New York (NY); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision plans

401K with employer match

Catered lunch multiple days per week

Dinner stipend for late working hours

Grubhub subscription

Generous PTO policy

Job summary

Mirage is looking for an ML Engineer in New York City to build and scale systems for video generation models. The role focuses on optimizing advanced models for real-time generation and includes responsibilities like training models and improving system efficiency.

The ideal candidate has a BS/MS/PhD in a related field and at least 2 years of industry experience. Benefits include comprehensive health plans, 401K, catered lunches, and generous PTO.

Qualifications

• 2+ years of professional industry experience.
• Strong experience in deep learning infrastructure.
• Experience scaling and optimizing models.

Responsibilities

• Train and optimize large-scale video and multimodal models.
• Improve efficiency across training and inference.
• Implement techniques like distillation and quantization.

Skills

Deep learning systems

PyTorch

CUDA

Distributed training

Debugging skills

Education

BS/MS/PhD in CS, ML, or related field

Job description

Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language. Our models leverage contextual awareness to execute the same creative decisions a professional editor would — dramatically improving productivity for experienced teams, while making video creation accessible to anyone.

We’re an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media. As an early member of our team, you’ll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression.

Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square).

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

• 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 throughputDevelop tooling for experimentation, evaluation, and debugging
• Translate research models into robust, production‑ready systems
• Monitor and improve model performance in real‑world usage

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.