Algorithms, Analytical and Problem solving, Apache Kafka, AWS, Data Analysis, Databricks, Deep Learning, Effective communication skills, Machine learning techniques, NumPy, Pandas, Python Programming, PyTorch, SQL, TensorFlow
POSITION SUMMARY
Machine learning is the enabler for every financial service EarnIn provides its community members. We are going through transformative investments in machine learning platforms and algorithms. We aim to lead the innovation and operational excellence in machine learning for the fintech industry. We seek talented and motivated students and recent graduates with a strong background in deep learning, language models, programming, and data analysis to join our team as a Machine Learning Intern. You will work on real-world projects, collaborate with experienced professionals, gain valuable experience in the fintech industry, and realize business and social impact. This position will be based in our Palo Alto HQ and will require in office work at least 2 days a week. The pay for this position is $30.00/hour and the role is full-time for the duration of the internship which will be 8-12 weeks.
WHAT YOU'LL DO
WHAT WE'RE LOOKING FOR
At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. 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.
Earnin is a financial services company that provides an app-based platform to help people manage their cash flow. The company offers an alternative to traditional payday loans, allowing users to access their earned wages before their payday. The app connects to the user's bank account and tracks their hours worked, allowing users to withdraw up to $100 per day or up to $500 per pay period.
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