Algorithms, Computer Vision (CV), Data Engineering, Design, Effective communication skills, Machine learning techniques, Natural Language Processing (NLP), Python Programming, Writing
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 around transforming ML models to high-performance production-level code needs to be done, including not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming, and DevOps.
This position will be ideally hybrid from our Bengaluru office as part of our expanding site location. EarnIn provides excellent benefits for our employees 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.
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.
Atlanta, GA, USA
0-2 year
Atlanta, GA, USA
0-2 year
Gurgaon, Haryana, India
2-4 year
Bangalore, Karnataka, India
2-4 year