Senior Machine Learning Engineer (Algorithms)
EarnIn is seeking a Senior Machine Learning Engineer (Algorithms) to design, build, and launch efficient and reliable ML models. This role involves training and validating state-of-the-art deep learning and statistical models, partnering with product and tech leads, and ensuring robust, scalable data pipelines. The ideal candidate will have strong Python and data engineering skills, extensive knowledge of ML algorithms, and 5+ years of experience in ML engineering.
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.
As a Fintech company where Machine Learning (ML) is one of the key features, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, ensuring our machine learning systems’ health and scalability is critical. To guarantee the success of machine learning systems, work around transforming ML models to high-performance production-level code needs to be done, including implementing sophisticated machine learning algorithms and robustness monitoring, system logging/alarming, and DevOps.
This position will be a hybrid from our Bengaluru office as part of our expanding site location with 2 days a week in the office. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Palo Alto HQ. Our salary ranges are determined by role, level, and location.
Posted June 2, 2026