Applied Scientist - Personalization and Recommendation

OnePay

1d • Remote

About The Position

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.
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.

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.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 51-100 employees