Staff Applied Scientist, Personalization
AI summary of the role
Staff-level applied scientist owning personalization and recommendation systems across OnePay's consumer fintech products.
What you’ll do
- Design and deploy machine learning, deep learning, and LLM models to shape customer experience and drive business growth
- Develop personalization and recommendation systems for dynamic, user-centric experiences
- Design and optimize search and retrieval systems to improve discoverability and relevance
- Collaborate with product, engineering, and analytics teams to bring AI solutions from ideation to deployment
What you’ll bring
- 7+ years building and productionizing ML/AI models with measurable business impact
- Experience with LLM-powered applications, agentic systems, and traditional ML (ranking, recommendations, personalization)
- Degree in Computer Science, Data Science, Applied Mathematics, or related field
- Fluency collaborating with Product, Engineering, and Analytics teams
Technologies
machine learning · deep learning · LLM · recommendation systems · search · retrieval · ranking · personalization · agentic systems
About ONE Finance
Operating as OnePay, Walmart/Ribbit-backed fintech bundles banking, credit, BNPL, investing, crypto, wallet, and workplace financial wellness for U.S. shoppers and workers.
Private Late · 500–1000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
we. This place moves fast, and we’re looking for people who are: Ready to run Hungry and driven by urgency Exceptional at what they do, with low ego Comfortable operating in motion The Role As an Applied Scientist at OnePay, you’ll be at the forefront of our AI and Machine Learning innovation! You will: Design and deploy machine learning, deep learning, and LLM models that will shape our customer experience, drive business growth, and improve operational efficiency while collaborating closely with product, engineering, and analytics teams. Develop personalization and recommendation systems that deliver dynamic, user-centric experiences across our product offerings. Design and optimize search and retrieval systems to improve discoverability, relevance, and user satisfaction. You Bring 7+ years of experience building and productionizing ML/AI models that deliver measurable
More from the job description
About OnePay OnePay is the consumer fintech trusted by millions of Americans to make money better. Our financial system is broken. High fees, low rates, and too few ways to actually grow your money. We’re fixing it. And we’re moving fast. We’re an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place. We also partner with employers, HCM providers, gig platforms, and others to deliver embedded financial services to millions of employees and frontline workers. We’re backed by Walmart, the world’s largest retailer, and Ribbit Capital, one of fintech’s most respected investors, giving us rare scale, distribution, and the opportunity to build something truly category-defining. But what really sets OnePay apart is how we move. Our customers don’t have time to wait… and neither do we. This place moves fast, and we’re looking for people who are: Ready to run Hungry and driven by urgency Exceptional at what they do, with low ego Comfortable operating in motion The Role As an Applied Scientist at OnePay, you’ll be at the forefront of our AI and Machine Learning innovation! You will: Design and deploy machine learning, deep learning, and LLM models that will shape our customer experience, drive business growth, and improve operational efficiency while collaborating closel [... source excerpt omitted ...] product offerings. Design and optimize search and retrieval systems to improve discoverability, relevance, and user satisfaction. You Bring 7+ years of experience building and productionizing ML/AI models that deliver measurable business impact. Experience building and productionizing LLM-powered applications, agentic systems, and traditional ML (ranking, recommendations, personalization). A strong technical background with a degree in Computer Science, Data Science, Applied Mathematics, or a related field. Fluency in collaborating with Product, Engineering, and Analytics teams to bring AI solutions from ideation to deployment. Drive and proactivity – everyone here is a bui
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