Staff Applied Scientist, Personalization

OnePay
$180,000 - $250,000Remote

About The Position

OnePay is a consumer fintech company focused on improving financial services for Americans. They offer an all-in-one financial platform including banking, savings, credit cards, lending, investing, and crypto. OnePay also partners with employers to provide embedded financial services. The company is backed by Walmart and Ribbit Capital and emphasizes a fast-paced, results-driven culture. The role of Staff Applied Scientist is crucial for AI and Machine Learning innovation, focusing on designing and deploying models to enhance customer experience, drive business growth, and improve operational efficiency. This involves developing personalization and recommendation systems, as well as search and retrieval systems.

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 – everyone here is a builder and executor.

Responsibilities

  • 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.

Benefits

  • Competitive base salary
  • Stock options
  • Health benefits from Day 1
  • 401(k) plan with company match
  • Remote-friendly (US)
  • Flexible time off (FTO)
  • Opportunities for growth
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service