2+ years of hands-on experience with ML/AI models that drive business results.
Proven track record in building and deploying LLM-powered applications and agentic systems.
Technical degree in Computer Science, Data Science, Applied Mathematics, or related field.
Proficiency in cross-functional collaboration with Product, Engineering, and Analytics teams.
Strong drive and proactivity as a builder and executor.
Responsibilities
Design and deploy machine learning and deep learning models to enhance user experience and operational efficiency.
Build intelligent AI agents for automated workflows and better decision-making.
Develop personalized recommendation systems for user-centric product experiences.
Optimize search and retrieval systems for improved user satisfaction and content discoverability.
Benefits
Competitive base salary and stock options from Day 1.
Health benefits provided from the start.
401(k) plan with company match.
Remote-friendly work environment with flexible time off.
Culture focused on high growth, inclusivity, and real impact.
Full Job Description
The Role
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.
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.
You Bring
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.
What We Offer
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
Standard Interview Process
Initial Interview with Talent Partner
Technical or Hiring Manager Interview
Team Interview
Executive Interview
Offer!
Standard Interview Process
Our process varies by role. Most candidates go through:
