Skip to the page

Founding Data Scientist / Machine Learning Engineer

PalladioAshbySan Francisco Bay Area
Posted 17 JulFound 14 OctSeen 4 hours ago

Check your resume for this job's 15 skills, free. Then have AI tailor it.

Fit

The keywords the posting names, against what your resume says.

Add your resume to see which of its keywords you already have, and get a resume tailored to this posting. 10 a month, free.

The Posting

SEEKING FOUNDING DATA SCIENTISTS AND MACHINE LEARNING ENGINEERS

IMAGINE MULTIPLYING YOUR IMPACT

You've unlocked major wins in your career - you've shipped models, moved key metrics, and proved what great data science and machine learning can do. You've bent the curve for products used by millions of people.

Now, picture the idea of leveling up the entire app ecosystem by scaling your impact across many products and companies so every app in your pocket becomes smarter, more engaging, and more essential to the people who rely on it.

You can help product teams iterate faster, delight users, and grow revenue, all because of the intelligence you build once and deploy everywhere.

We know this ambition: we've done this again and again at places like Uber, Apple, Meta, Google, and Chime. We've had tens of billions of dollars of impact for products essential to billions of people, and we're ready to scale our impact to the next level.

If this sounds like the next chapter you're looking for, read on.

WHY PALLADIO EXISTS

Dashboards describe the past; teams need their next move. Palladio AI is the intelligence layer between raw data and decisive action, surfacing product opportunities that turn into real growth levers and guiding action so product teams iterate with confidence and velocity instead of sifting through noise.

WHAT YOU'LL SHAPE

Our team is building core systems in behavioral modeling, causal inference, forecasting, agentic platforms, and more. You'll help extend those domains: building ML and AI models to detect and surface product opportunities, shipping learning loops that improve themselves with every release. In short, you'll turn first-principles data science into a product that scales across industries.

More than any technical challenge, you'll build a platform that helps real people make better decisions, turning data into clarity and clarity into progress.

About You

  • Craft and excellence. You dive into messy data, prototype quickly, and iterate until the insight sings.
  • Impact mindset. 6+ years in production ML/DS; you balance scientific rigor with "it ships today, iteration on the way" pragmatism.
  • Owner at heart. Zero-to-one energizes you; you'd rather set the standard than inherit one.
  • Product voice. You can walk a PM through trade-offs as confidently as you tune a model.
  • Customer-obsessed. You connect with the user's pain, measure success in user outcomes, and translate findings into product wins.
  • Beginner's Mind. You stay hungry to learn, because better ideas are always out there.

Our Team

Our team has shaped the design, data, and systems behind some of the world's most iconic products. We're builders who founded Uber's Michelangelo, led data and design teams at Apple, Meta, Google, and Chime, and shipped products used by billions. We've had tens of billions of dollars of impact. Backed by top-tier investors, we're now channeling that experience into a focused, user-obsessed startup so every product team can tap the same class of intelligence at scale.

Why Join Now

This is the moment to have an outsized impact. You'll work directly with founders and early customers to define not just features but also the fundamental approach to how product intelligence should work. You'll see your ideas in production quickly, affecting real decisions for products used by millions.

We're building a company that values clarity, craft, and impact. If those values resonate with you, we'd love to connect.

Ready for the next level of impact? Apply now

Facts

Source
Ashby
External id
84e364ec-0287-49b3-8196-cbf78a6fee78
Location
San Francisco Bay Area, United States
Remote
Hybrid, from the posting
Employment
Full time
Posted
17 Jul 2025, 17:58
First seen
14 Oct 2026, 16:42
Last seen
2 Nov 2026, 16:27
Status
Not yet added
Posting id
77185cce-53e3-54bc-9d48-09e542a42233