Head of Machine Learning

EarnIn•Mountain View, CA

4d•$414,000 - $506,000•Hybrid

About The Position

As 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 the operational excellence of our machine learning systems—creating and executing a vision of taking ML models from research to production, ensuring high performance, reliability, and maintainability. The ideal candidate will have a history 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.

Requirements

MS or Ph.D. degree in Computer Science, Statistics or a related technical field, and or equivalent work experience
10+ 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 teams
Extensive breadth and depth of knowledge of machine learning algorithms
Industry experience building and productionizing machine learning systems
Advanced knowledge of Python, SQL
Strong oral and written communication skills

Responsibilities

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 release