Staff Applied Scientist, Personalization

🕒 May 26

🇺🇸 United States – Remote

💵 $180k - $250k / year

⏰ Full Time

🔴 Lead

🧬 Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 44%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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OnePay

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💳 Fintech

🏦 Banking

₿ Crypto

💰 $300M Series unknown on 2025-01

Fintech • Banking • Crypto

OnePay is a U. S. -based financial technology company that provides consumer-facing banking and payment products through partner banks. The app offers checking/savings with early pay and high-yield savings, a credit-builder program and secured Builder Mastercard, a CashRewards card with Walmart-focused cashback, investing and cryptocurrency trading, a digital wallet, pay-later options, and free tax filing for customers. OnePay partners with Coastal Community Bank, Lead Bank, Synchrony, and other providers for banking, card issuance, lending, and custody services; it is not itself a bank.

📋 Description

• Design and deploy machine learning, deep learning, and LLM models • Shape customer experience, drive business growth, and improve operational efficiency • Collaborate closely with Product, Engineering, and Analytics teams • Develop personalization and recommendation systems for dynamic, user-centric product experiences • Design and optimize search and retrieval systems • Improve discoverability, relevance, and user satisfaction

🎯 Requirements

• 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 • Currently authorized to work lawfully in the United States • Must disclose if employment-based immigration sponsorship is required now or in the future

🏖️ Benefits

• Stock options • Health benefits from Day 1 • 401(k) plan with company match • Remote-friendly (US) • Flexible time off (FTO) • Opportunities for growth • High-growth, mission-driven, inclusive culture • Equal employment opportunities and interview/accessibility accommodations