Research Engineer, Mirage

Generative Video

$175-275k

Offers Equity

CUDA

PyTorch

Junior and Mid level

New York

Office located in Union Square, NYC

AI-powered creative studio

Posted today

AI-powered creative studio

101-200 employees

B2BArtificial IntelligenceDigital MediaSaaS

Posted today

$175-275k

Offers Equity

CUDA

PyTorch

Junior and Mid level

New York

Office located in Union Square, NYC

101-200 employees

B2BArtificial IntelligenceDigital MediaSaaS

Company mission

To empower our customers, regardless of background or experience, with the ability to bring their vision to life in seconds.

Job

Company

Role

Who you are

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

What the job involves

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
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

Our take

As AI integration grows in creative fields, concerns arise about the future of professions like writing and design. However, Mirage (formerly known as Captions), sets out to transform these anxieties into opportunities by harnessing AI technology to streamline the creative workflow.

By automating tasks in music, graphic design and video production, Mirage allows users to generate compelling content directly from their mobile devices. As the demand for captivating digital content rises, the company has expanded from processes like captioning, editing, dubbing and soundtracking into more sophisticated models specified for things like pacing, framing, and attention dynamics.

Mirage's innovative approach has seen it raise considerable funding which has supported team growth, in-house research and the expansion of its technical infrastructure. As it expands its offering to serve industries like advertising and marketing, it has secured fresh funds that will fuel this moderated (and lucrative-looking) direction.

Freddie

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 3 rounds)

Mar 2026

$75m

GROWTH EQUITY VC

Jul 2024

$60m

SERIES C

Total funding: $160m

Company benefits

Comprehensive medical, dental, and vision plans
Anything you need to do your best work
We’ve done team off-sites to places like Paris, London, Park City, Los Angeles, and Nashville with more planned in the future

Company HQ

Civic Center, New York, NY

Leadership

Gaurav Misra

(CEO & Founder)

Previously the Head of Design Engineering at Snap Inc, Senior Software Engineer at Localytics, Software Development Engineer at Microsoft, and Software Engineer at Lattice Engines.

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