MachineLearningEngineer

About EarnIn 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 As a Fintech company where Machine Learning (ML) is a key capability, we rely heavily on ML models in business decisions and customer experiences. Therefore, ensuring the health and scalability of our machine learning systems is critical. To ensure the success of machine learning systems, work is needed to transform ML models into high-performance, production-ready code. This includes not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming, and DevOps. This position will be hybrid, based in our Bengaluru office, as part of our expanding site. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site. Our salary ranges are determined by role, level, and location. WHAT YOU'LL DO Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models, considering use-case, complexity, performance, and robustness Demonstrate end-to-end understanding of applica