Stop scrolling.

This is not a safe job. This is not “AI at a bigco” where you tweak models and polish decks.

This is raw. Fast. Mission-critical. Foundational.

We're looking for a machine learning savage — someone who codes like a builder, thinks like a founder, and trains like they've got something to prove. If you live and breathe AI, and you've been waiting for your shot to own something real, this is it.

**
The Mission**

We're CitizenShipper , a remote-first, US-based two-sided marketplace revolutionizing pet transportation (and other hard-to-move things). Think Uber meets Airbnb, but for moving animals across America.

People aren't just shipping boxes. They're shipping family — puppies, rescues, pets that mean everything. Our tech connects them with a national network of vetted, mission-driven drivers who make the journey safely.

It's emotional. It's logistical chaos. And it's a $10 B+ market no one is attacking like we are.

We're profitable. Lean. Growing fast. And now we're ready to weaponize AI — to outlearn, outmatch, and outscale every competitor.

**
The Role**

We're hiring an AI/ML Engineer to build the brains of the system. Not a “lab project.” Not a side feature. The core intelligence of our marketplace. You'll get to design, deploy, and own the models that drive:

• Driver and customer matching

• Route optimization and price prediction

• Fraud detection, risk scoring, and ops automation

• LLM-based support, feedback triage, and messaging tools

• Personalization, trust-building, and churn prediction

• Whatever else your brilliant brain comes up with

You'll be our founding ML hire. You won't be handed a perfect dataset — you'll help design the data pipelines, wrangle chaos into signal, and ship to production fast. You'll work side-by-side with product and engineering, reporting directly to the CEO.

You'll move with full autonomy, maximum urgency, and zero corporate BS.

**
What You'll Do**

• Build and ship models that solve real, high-leverage business problems

• Own the entire ML lifecycle: framing → data → modeling → deployment → iteration

• Architect data infrastructure and design pipelines that scale

• Prototype fast, validate faster, deploy in the wild, and learn even faster

• Explore LLM and agent-based systems for internal tooling and CX optimization

• Push boundaries with real-time, production-grade AI — not sandbox toys

You'll work in the real world. Live data, real impact, high stakes.

**
Who You Are**

You're not a resume. You're a machine-learning builder who:

• Has 5+ years of experience in ML/AI (industry, startup, or serious research)

• Has built and deployed ML systems at scale (not just notebooks)

• Understands LLMs, embeddings, transformers, and how to bend them to your will

• Is dangerously good with Python, vector DBs, and modern ML tooling

• Has an instinct for product, not just precision

• Can run without a spec, sprint without a PM, and lead without a title

• Lives to ship, learns by fire, and thrives under pressure

• Doesn't want “balance” — wants ownership and upside

Bonus: You've worked in marketplaces. You've built something end-to-end. You've shipped an LLM product. Or maybe you've been the weird genius at a company that never quite deserved you.

**
Compensation**

Top-of-market pay. No fluff, no cap, no red tape. If you're the one, we will make it work.

**
The Dare**

If you've been waiting to go all-in — to stop playing it safe and start building something that matters — this is your green light.

Don't just apply. Prove it. Send us something that screams I build. A code repo. A teardown. A project you're proud of. A Notion doc that blows our minds.

We're not looking for another cog in the machine.

We're looking for the machine.

Are you in?