Overview
We’re Aeone — a fast-moving startup building AI copilots for marketing teams and creators. Our mission: streamline content creation, distribution, and campaign management so creative teams can focus on bold ideas, not tedious workflows.
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 AI.
We’re looking for brilliant minds who want to push AI beyond the lab — and see their work shaping culture and creativity.
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 build the brains behind Aeone’s AI Video Editing & Virality Engine — a system that:
Watches long-form videos and automatically finds the most engaging highlights
Generates short-form content (5 seconds to 10 minutes) optimized for platforms like TikTok, Instagram Reels, YouTube Shorts, and beyond
Learns the patterns behind viral content and predicts how well something will perform before it’s posted
Suggests creative improvements to increase shareability, retention, and reach
This is applied research with real-world stakes: your models will help creators and marketers generate videos that can be seen by millions.
What You’ll Do
Research & implement multimodal AI models for video understanding, highlight detection, and content segmentation
Build agents that can review, summarize, and repackage video content into platform-ready formats
Train & fine-tune models on datasets of viral and high-performing content across social platforms
Develop algorithms to measure virality potential and recommend improvements
Work closely with product designers to ensure outputs are creator-friendly and brand-aligned
Continuously improve models based on user feedback and live performance data
What We’re Looking For
Postdoc or PhD student (3rd–final year) in CS, Machine Learning, Computer Vision, or related field
Experience with video understanding, action recognition, or content summarization
Strong background in deep learning frameworks (PyTorch or TensorFlow)
Knowledge of transformer architectures, multimodal models, or self-supervised learning for video
Comfortable with data preprocessing for large-scale video datasets
Excited about working in a fast-paced startup where you ship real features fast
(Bonus) Research or hands-on work with social media virality prediction or content recommendation
(Bonus) if you are located in Seattle or the West Coast
Why You’ll Love This Internship
Equity-based compensation — you’ll own a piece of the company you help build
See your models impact real creators within weeks
Work at the intersection of cutting-edge AI, social media, and cultural trends
Join a small, elite team — direct access to founders, no corporate bureaucracy
Flexible schedule to fit your research commitments
Potential to publish if aligned with Aeone’s research direction
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.