AI/ML Engineer Build the Future, Not Just the Model

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?