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AI Research, Intern

About One

One’s mission is simple - to help customers achieve financial progress. We’re doing this by creating simple solutions to help our customers save, spend, borrow, and grow their money – all in one place.

The U.S. consumer today deserves better. Millions of Americans today can’t access credit, build savings or wealth, and are left to manage their financial lives through multiple disconnected apps. Almost a quarter of U.S. adults are unbanked or underbanked and roughly 80% of fintech users rely on multiple accounts to manage their finances.

What makes us unique? We are backed by a preeminent fintech investor (Ribbit) and the world’s largest retailer (Walmart), maintain the speed and independence of a startup, and employ a strong (and growing) collection of world-class talent.

There’s never been a better moment to build a business that helps people achieve financial progress. Come build with us!

The role

As an AI Research Intern, your mandate is to research agentic AI use cases for customer facing product features and develop a working prototype. This role will impact One’s vision by providing remarkable customer experience, driving positive business outcomes and improving operational efficiency. You will work closely with the product, engineering and applied science team(s) working across all business units. This role reports to the Head of AI/ML.

This role is responsible for: 

  • Opportunity to work in an extremely fast paced growing company

  • Design, build and productionize cutting-edge models.

  • Partner with Product, Engineering and Analytics teams to ensure we are providing a remarkable customer experience. 

  • Driving significant impact on the company’s bottom line.

You bring

  • A Bachelor's or Master's degree in computer science, data science, operations research, applied math, stats, physics, or related technical field

  • Prior experience with text and image data

  • Strong understanding of Machine Learning and Deep Learning concepts

  • The Triple H Factor: Hungry, Humble, Honest

  • An act-like-an-owner mentality. We have a bias toward taking action.

  • Bonus qualification: Completed a course or worked on a project related to Large Language Models (LLMs) or Generative AI.

What it’s like working @ One 

  • Compensation for role is $25 per hour for Bachelor's degree and $27 per hour for Master's degree

  • Early access to a high potential, high growth fintech 

  • Beautiful Tribeca Office

  • Fully stocked kitchen with beverages and snacks 

  • Weekly professional development and team social outings 

How to Apply 

  • Applications will close March 7th, 2024 

    Program Duration 

  • June-August 2025 

Leveling Philosophy

In order to thoughtfully scale the company and avoid downstream inequities, we’ve adopted a flat titling structure at One. Though we may occasionally post a role externally with a prefix such as “Senior” to reflect the external level of the position, we do not use prefixes in titles like that internally unless in a position which manages a team. Internal titles typically include your specific functional responsibility, such as engineering, product management or sales, and often include additional descriptors to ensure clarity of role and placement within our organization (i.e. “Engineer, Platform”, “Sales, Business Development” or “Manager, Talent”). Employees are paid commensurate with their experience and the internal level within One.

Equal Employment Opportunity

To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at [email protected].

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