O
ONE
Staff Applied Scientist (Personalization)
Skills
Deep LearningData ScienceData AnalysisMachine LearningAI
2 months ago
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Important information
Contract type:
Permanent
Salary:
$180,000 – $250,000 / year
Location:
United States
Work mode:
Onsite
Published on:
4 September 2026
What they need
- As an Applied Scientist at OnePay, you’ll be at the forefront of our AI and Machine Learning innovation
- 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
- Build intelligent AI agents that can reason, plan, and interact across workflows to enhance automation and decision-making
- 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 health benefits: Medical, dental, and vision plans, pluss wellness perks.
- Flexible time off: Rest, recharge, repeat.
- Paid employee leave: Sick, personal, caregiver, bereavement, ans parental.
- 401k plan: With employer match.
- Monthly work-from-home stipend: To cover those home office expenses.
- Remote-first culture: Work anywhere in the US.- A strong technical background with a degree in Computer Science, Data Science, Applied Mathematics, or a related field
- Drive and proactivity – everyone here is a builder and executor
- Experience building and productionizing LLM-powered applications, agentic systems, and traditional ML (ranking, recommendations, personalization)
- Fluency in collaborating with Product, Engineering, and Analytics teams to bring AI solutions from ideation to deployment
- 7+ years of experience building and productionizing ML/AI models that deliver measurable business impact- Initial Interview with Talent Partner
- Technical or Hiring Manager Interview
- Team Interview
- Executive Interview
- Offer!
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