<h1>About One</h1>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 RoleAs a Staff Applied Scientist at One you’ll be at the forefront of our AI and Machine Learning innovation! You'll 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. If you're interested in directly influencing some of One's most critical business outcomes and are passionate about using AI to solve real-world problems at scale, this role is for you!What you’ll do:<ul style="min-height:1.5em"><li>Lead end-to-end machine learning model development: from design, experimentation, and deployment to scaling production models.</li><li>Tackle real-world problems with both batch and real-time models, creating tangible impact on customer experience, risk management, fraud prevention, and operational efficiency.</li><li>Collaborate with cross-functional teams from Product, Engineering, and Analytics to drive AI initiatives that directly impact our company’s growth and bottom line.</li><li>Play a pivotal role in a fast-growing, dynamic environment, with opportunities to transition into a lead or manager in the future as we continue to expand.</li></ul>You Bring:<ul style="min-height:1.5em"><li>Hands-on expertise with 5+ years of experience building and productionizing ML/AI models that deliver measurable business impact.</li></ul><ul style="min-height:1.5em"><li>You have a strong technical background with a degree in Computer Science, Data Science, Applied Mathematics, or a related field.</li><li>You're fluent in collaborating with Product, Engineering, and Analytics teams to bring AI solutions from ideation to deployment.</li><li>You're proficient in Databricks (or similar platforms) and familiar with managing data pipelines and advanced analytics workflows in a cloud-based environment.</li><li>You have the Triple H Factor: Hungry, Humble, Honest. You thrive in fast-paced environments and approach challenges with an ownership mentality.</li></ul>Pay TransparencyThe estimated annual base salary for this position ranges from $200,000 to $300,000. Pay is generally based upon the level, complexity, responsibility, and job duties/requirements of the specific position. We then source candidates with the requisite skills, expertise, education, training, and experience. If you are selected for an interview, please feel welcome to speak to a Talent Partner about our compensation philosophy and other available benefits. We use Covey as part of our hiring process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using <a target="_blank" rel="noopener noreferrer nofollow" href="https://getcovey.com/product/covey-scout-inbound">Covey Scout for Inbound</a> on May 31, 2024.Please see the independent bias audit report covering our use of Covey <a target="_blank" rel="noopener noreferrer nofollow" href="https://getcovey.com/nyc-local-law-144">here</a>.<h1>Leveling Philosophy</h1>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.<h1>Inclusion &amp; Belonging</h1>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 and value diversity at our company. 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 talent@one.app.