Founding Machine Learning Engineer Generative AI & Video/Image Generation/Editin

Engineering, Machine Learning, Artificial Intelligence Overview

Were

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? Theyre all marketing tech companies and they make the majority of their revenue from advertising:

Google (76%)

,

Meta (98%)

,

ByteDance (60%)

. At Aeone, youll work on

world-scale problems

and help build the future of marketing tech powered by cutting-edge AI. Were 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 whether youre coming from a PhD program, a top-tier lab, or many years in industry, its the same job description and application process. The Role As our

Founding Machine Learning Engineer

, youll 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 (5s10m) 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 youll be shaping core architecture, deciding model approaches, and shipping features that creators and marketers will use every day. What Youll 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 Aeones platform Help shape the

ML infrastructure and research culture

as an early team member What Were Looking For 3+ years of experience in

machine learning engineering

(industry, research, or advanced academic work) 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 Youll Love This Role Founding-level impact

your work will define the product and company direction Competitive

salary ($70k$108k)

plus

0.5%1.5% 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 Send us: Your

resume/CV A short note on

why you want to build this

and your relevant experience Links to

GitHub, papers, or demos

(if available) Email

creatr {{at}}

aeone.co

with subject:

Founding ML Engineer Bellevue #J-18808-Ljbffr