Palladio AI
AI & Machine LearningDirect Ashby career site

Founding Data Scientist / Machine Learning Engineer

Location
San Francisco, CA (Remote) · On-site
Job type
Full-time
Level
Senior
Experience
6+ years
Listed
22 days ago

Skills & highlights for this role

  • machine learning
  • data science
  • production ML systems

Also useful

  • agentic platforms

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

Read the original posting

From Palladio AI's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.

How Rolev.ai helps with this application

Rolev.ai is a job search and application tool for US job seekers. For this Founding Data Scientist / Machine Learning Engineer role at Palladio AI, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.

  • See how you fit

    Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.

  • Tailor without inventing

    Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.

  • Draft the full kit

    Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.

  • 1-Click Extension Autofill

    The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.

Common questions

Where is the Founding Data Scientist / Machine Learning Engineer job at Palladio AI located?

Yes, this Founding Data Scientist / Machine Learning Engineer opening at Palladio AI is listed as San Francisco, CA (Remote) (On-site). Always check Palladio AI's application page for specific state eligibility or relocation policies.

What qualifications are required for Founding Data Scientist / Machine Learning Engineer at Palladio AI?

For the Founding Data Scientist / Machine Learning Engineer role, Palladio AI highlights 6+ years of relevant experience; experience with machine learning, data science, production ML systems. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.

How do I apply for the Founding Data Scientist / Machine Learning Engineer position at Palladio AI?

This listing links directly to Palladio AI's Ashby application page. You can apply directly on Palladio AI's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.