Overview
We’re Aeone — a fast-moving marketing tech startup building AI copilots for marketing teams and creators. Our mission is to streamline content creation, distribution, and campaign management so creative teams can focus on ideas, not grunt work. Founded by a former Senior PM at Amazon, we are supported by Senior Leaders at companies like Stripe, Oura Ring, and Radar First.
Think “marketing tech” sounds boring? Think again.What do Google, Meta, and ByteDance have in common? They’re all marketing tech companies — and they make the majority of their revenue from advertising: Google (76%), Meta (98%), ByteDance (60%). At Aeone, you’ll work on world-scale problems and help build the future of marketing tech — powered by cutting-edge generative AI.
We’re looking for brilliant minds who want to push the limits of generative AI and build something that changes how the world creates content — with the upside of owning a stake in the company when it takes off.
If you’re the kind of person who wants to change the world, not just write papers about it — this is where you do it.
Job Description
The Role
You’ll work at the frontier of text-to-video/photo generation, building a model that:
Produces high-quality, realistic photos and videos from user prompts
Enables iterative refinement so users can perfect results
Is designed for real-world deployment to marketers and creators
This is a hands-on, high-impact role where your work moves from research to product integration in weeks, not years.
What You’ll Do
Research & implement state-of-the-art architectures for text-to-video and text-to-image
Train & fine-tune models on custom datasets for quality, speed, and usability
Explore prompt conditioning and interactive refinement pipelines
Benchmark & optimize model performance against the latest systems
Work closely with the product team to integrate your models into Aeone’s creator platform
What We’re Looking For
Postdoc or PhD student (3rd–final year) in CS, Machine Learning, Computer Vision, or related field
Strong background in deep learning (PyTorch or TensorFlow) and generative models (Diffusion Models, GANs, Transformers)
Experience with image/video synthesis or multimodal learning
Strong understanding of conditioning, fine-tuning, and evaluation
Thrives in fast-paced startup environments
Get excited by the idea of building models from scratch.
(Bonus) Experience in video generation or iterative generation loops
(Bonus) if you are located in Seattle or the West Coast
Why You’ll Love This Internship
Equity-based compensation — you’ll own part of what you help build
Direct impact — your models will be in the hands of real users
Cutting-edge research applied to real-world creative tools
High-caliber, small team — no bureaucracy, just building
Flexible schedule to fit your research commitments
Potential to publish if aligned with Aeone’s research goals
Compensation & Hours
Equity in Aeone — when we succeed, so will you
$30/hour salary
~20 hours/week, onsite
Free U-Pass (Seattle) or SmartPass (Bay Area) for office commuting.
Free coffee, tea, soda, and snacks in office
Offsite team-building activities
Flexible start date
Locations
Bellevue, WA office
WeWork in San Francisco
How to Apply
Send us:
Your resume/CV
A short note on your relevant research or projects
Links to GitHub, papers, or demos (if available)
Email creatr [[at]] aeone [dot] co with subject: ML Scientist Intern (PhD) – Your Name or click the "Apply Now" button below.