About the job
About EarnIn
EarnIn is a trailblazer in the earned wage access space, dedicated to creating innovative financial solutions that provide real-time flexibility for individuals navigating the challenges of living paycheck to paycheck. Our platform empowers users to access their hard-earned wages as they earn them, enabling them to manage their finances with ease—without hidden fees, interest rates, or credit checks.
We take pride in our robust leadership team and our partnerships with top-tier investors such as A16Z, Matrix Partners, DST, and Ribbit Capital. Our sound business model ensures a strong foundation for growth, making us an exciting place for talented individuals to contribute to our journey as we expand.
As a pivotal member of our team, the Head of Machine Learning in India will oversee the critical machine learning systems integrated into our fintech platform. These systems are essential for enhancing business decisions and enriching customer experiences across various domains—risk management, fraud detection, growth strategies, personalization, and operational efficiency. The successful candidate will ensure the reliability, performance, and scalability of these systems, translating cutting-edge research into high-performance production solutions. This position requires extensive experience in deploying machine learning at scale, a knack for thriving in dynamic environments, and a balance of theoretical knowledge with strong engineering instincts.
As EarnIn continues to expand its footprint in India, you will lead a high-performing machine learning team with significant potential for growth. In your capacity as the senior ML leader on-site, you may also assume site leadership responsibilities, working closely with HR and Talent Acquisition to foster a positive culture and enhance team engagement. This role will operate on a hybrid basis from our Bengaluru office, with at least two days in the office per week. EarnIn offers competitive employee benefits, including healthcare coverage, reimbursement for internet and cell phone expenses, a learning and development stipend, and opportunities for collaboration and travel to our headquarters in Mountain View and our office in Bangkok. Our salary ranges are determined by role, level, and location.

