Machine Learning Engineer

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 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 needs to be done around transforming ML models to high-performance production-level code, including implementing sophisticated machine learning algorithms and robustness monitoring, system logging/alarming, and DevOps. The US base salary range for this full-time position is $169,800 - $207,600 equity + benefits. Our salary ranges are determined by role, level, and location. This is a Palo Alto (Headquarters)- based position that will require a minimum of two days a week in the office, with the flexibility to be full-time in person depending on responsibilities. WHAT YOU'LL DO Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed Work closely with data platform teams to enable robust scalable batch and real-time data pipelines Drive high ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing, and monitoring WHAT WE'RE LOOKING FOR: MS degree or Ph.D. degree in Computer Science or a related technical field 2+ years of experience in ML engineering Strong programming skills in Python and data engineering skills Extensive knowledge of machine learning algorithms Hands-on experience with architectural patterns for large, high-scale software applications Industry experience building and productionizing machine learning systems Strong oral and written communication skills

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