Machine Learning Engineer
Hang- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, and ideally have some experience with machine learning frameworks such as TensorFlow or PyTorch. A strong foundation in software engineering principles and data structures is also required, along with familiarity with cloud computing environments.
The Machine Learning Intern will contribute to developing and maintaining EarnIn’s AI and ML platform and tooling, collaborating with ML engineers to streamline model training, deployment, and reproducibility. They will also build and onboard machine learning models, improve platform scalability and reliability, and assist in evaluating and integrating new technologies to strengthen the ML platform and tools, ultimately supporting the company’s innovation and operational excellence in the fintech industry.
Provides early wage access without fees
Earnin allows individuals to access their earned wages before payday without any fees or interest. Users can cash out a portion of their earnings and benefit from features like the "Balance Shield," which helps maintain their bank account balance. Unlike traditional financial institutions, Earnin operates on a model where users choose how much to pay for the service, fostering a community-driven approach. The company's goal is to create a fairer financial system that prioritizes accessibility and mutual support.