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 a founding team member who wants to push AI beyond the lab and change how the world creates and consumes media.
Job Description
Note: This is an open-ended job description for multiple job roles/levels — whether you’re coming from a PhD program, a top-tier lab, or many years in industry, it’s the same job description for all full-time MLE roles at Aeone. Apply, and we will reach out about the position we think is the best fit based on your CV.
The Role
As our Founding Machine Learning Engineer, you’ll work across two high-impact systems:
1. AI Video Editing & Virality Engine
Train AI agents to review long-form video content, extract the best highlight clips, and generate short-form videos (5s–10m) optimized for social media.
Build models that learn patterns behind viral content and can predict performance before publishing.
Suggest creative improvements to boost engagement, retention, and shareability.
2. Text-to-Video/Photo Generation
Build and train generative models that let users create high-quality images or videos from a text prompt, with iterative refinement to perfect the results.
Develop pipelines for fine-tuning, prompt conditioning, and multi-step generation workflows.
This is a founding-level, hands-on engineering role — you’ll be shaping core architecture, deciding model approaches, and shipping features that creators and marketers will use every day.
What You’ll Do
Design, implement, and deploy state-of-the-art generative and multimodal AI models
Develop AI agents for video understanding, segmentation, and summarization
Train & fine-tune diffusion models, transformers, and multimodal architectures
Create virality prediction algorithms based on platform-specific data patterns
Optimize inference pipelines for real-time and near-real-time performance
Collaborate with design, product, and engineering to integrate AI outputs seamlessly into Aeone’s platform
Help shape the ML infrastructure and research culture as an early team member
What We’re Looking For
Master's with 3+ years of experience in machine learning engineering (industry, research, or advanced academic work), bachelors with 5+ years in machine learning engineering, or Postdoc with published AI/ML papers
Strong skills in deep learning frameworks (PyTorch or TensorFlow)
Proven experience with generative models (Diffusion, GANs, Transformers) and/or video understanding
Solid grasp of multimodal learning, prompt engineering, and fine-tuning
Experience building and deploying models into production systems
Comfortable working in fast-paced, high-ownership startup environments
(Bonus) Prior work with social media content analysis or engagement prediction.
(Bonus) PhD in Computer Science, with concentration in AI/ML
Why You’ll Love This Role
Founding-level impact — your work will define the product and company direction
Competitive salary ($70k–$130k) plus 0.5%–1.7% equity
Full ownership of AI research and development strategy
Direct influence on real-world creative tools used by marketers, brands, and creators
Work on-site in Bellevue, WA with a small, high-caliber team that moves fast
Opportunity to publish research if aligned with company goals
How to Apply
Apply on the link below, provide a link to your resume/CV
Include a short note on why you want to build this and your relevant experience