Head of Machine Learning

About EarnInAs one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.POSITION SUMMARY We are seeking an experienced and visionary Head of Machine Learning to lead and scale our machine learning efforts across the company. As a fintech company where machine learning (ML) is integral to both our business strategy and user experience, we depend on robust, scalable ML systems to drive impactful decisions and deliver exceptional customer value. Our mission is to pioneer success stories through the application of generative AI and state-of-the-art machine learning algorithms, thereby generating transformative business and societal impact.The Head of ML will focus on operational excellence for our machine learning systems by creating and executing a vision to move ML models from research to production, ensuring high performance, reliability, and maintainability. The ideal candidate will have a proven track record of deploying ML models at scale, particularly in fast-paced startup environments. A strong foundation in coding, familiarity with production-level ML engineering practices, and the ability to bridge theoretical concepts with practical implementation are essential.The Mountain View base salary range for this full-time position is $414,000 to $506,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week.WHAT YOU'LL DO Define and own the machine learning roadmap in alignment with business goals.Lead the ML organization, consisting of multiple teams, to design, develop, and optimize ML-based models and systems.Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work, particularly to quantify the impact of features on relevant engagement metrics.Collaborate with data engineers, product managers, and marketing to coordinate timely deployments from conception to releaseWHAT WE'RE LOOKING FOR MS or Ph.D. degree in Computer Science, Statistics, or a related technical field, and or equivalent work experience10+ years of experience in Engineering or Scientific domains,7+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teamsExtensive breadth and depth of knowledge of machine learning algorithmsIndustry experience building and productionizing machine learning systemsAdvanced knowledge of Python, SQLStrong oral and written communication skills#LI-HybridAt EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.