Job Url: https://www.indeed.com/jobs?q=ai%2Fml&l=usa&sc=0kf%3Aattr%28DSQF7%29%3B&radius=25&from=searchOnDesktopSerp&start=30&vjk=1cdbc6536e621c0e Job Description: AI/ML Engineer – Build the Future, Not Just the Model- job post CitizenShipper 5.0 5.0 out of 5 stars Texas•Remote Full-time Apply now Profile insights Here’s how the job qualifications align with your profile. Skills Scalable systems Scalability AI Do you have experience in Scalable systems? Yes No Skip   Job details Here’s how the job details align with your profile. Job type Full-time   Full job description 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?   If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.