Applied Scientist – Personalization and Recommendation
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Job Description
Applied Scientist developing AI and Machine Learning models for OnePay's financial platform. Enhancing customer experience, driving growth, and improving operations with intelligent systems.
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.
- 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.
Requirements:
- Hands-on expertise with 2 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.
Benefits:
- Competitive base salary, stock options, and health benefits from Day 1
- 401(k) plan with company match
- Remote-friendly (US), flexible time off (FTO), and opportunities for growth
- A high-growth, mission-driven, inclusive culture where your work has real impact
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