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Founding Data Scientist / Machine Learning Engineer
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TriOptus LLCUnited StatesSenior MLOps Engineer (Contractor)Client is seeking an experienced Senior MLOps Engineer to join client’s Data Science Enablement (MLOps) team as a contractor. Candidates will be the primary MLOps exp
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General MotorsUnited StatesJob DescriptionDUTIES:Research, design, and develop new machine learning solutions and algorithms for driverless technology company. Explore, prototype, validate, and iterate new algorithms and strate
Founding Data Scientist / Machine Learning Engineer
- United States
- United States
À propos
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
Compétences linguistiques
- English
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