Mountain View, US Overview As one of the first pioneers of earned wage access, EarnIn delivers real-time financial flexibility for people living paycheck to paycheck. Members access earnings as they earn them, with options to spend, save, and grow money without mandatory fees, interest rates, or credit checks. We’re backed by experienced leadership and world-class funding partners such as A16Z, Matrix Partners, DST, Ribbit Capital. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. The Mountain View base salary range for this full-time position is $272,700 to $333,300, 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. Position Summary Machine learning is the crucial enabler for every financial service EarnIn provides to its community members. We are going through transformative investments in machine learning platforms and algorithms. We seek experienced ML platform engineers to shape and execute the vision of bringing state-of-the-art capabilities to our machine-learning stack. What you’ll do Design, build, and maintain the ML platform and tools to support the end-to-end machine learning lifecycle. Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure the reproducibility of results. Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform. Contribute to the evaluation and adoption of new technologies and tools to enhance our machine-learning capabilities. Provide technical guidance and mentorship to junior team members. Set examples of outstanding operational excellence. Be the catalyst of step-jump changes. What we’re looking for Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 7+ years of industry machine learning experience and excellent software engineering skills. Strong programming skills in Python, with familiarity in ML frameworks such as TensorFlow or PyTorch. Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI. Familiarity with data pipelines and workflow management tools. Strong communication and collaboration skills. Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.

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