Machine Learning Intern (Platform ML)

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

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 software engineering, machine learning, ML and AI frameworks, and workflows to join our 12-week Machine Learning Internship Program. 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 role requires hybrid work from our Mountain View office, with 3 days a week in person. This internship will pay $40 an hour with an expected 40 hours of work per week for the 12-week program. 

WHAT YOU'LL DO

• Contribute to developing and maintaining EarnIn’s AI and ML platform and tooling.
• Collaborate with ML engineers to streamline model training, deployment, and reproducibility.
• Build and onboard strong, off-the-shelf machine learning and deep learning models, making them easy for all ML teams to use.
• Improve platform scalability, reliability, and cost-efficiency.
• Collaborate with the machine learning teams to design, build, and maintain the ML and AI platform and tools.
• Help evaluate and integrate new technologies that strengthen ML capabilities.
• Gain hands-on experience with tools and infrastructure, including PyTorch, AWS, Kafka, and Databricks.

WHAT WE’RE LOOKING FOR

• Currently pursuing or recently completed a Bachelor's, Master's, or PhD degree in Computer Science, Electrical Engineering, or a related field.
• Solid software engineering fundamentals and understanding of ML workflows.
• Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, XGBoost, LightGBM).
• Familiarity with data tools like Spark, Pandas, NumPy, and SQL.
• Strong problem-solving and collaboration skills.
• Strong communication skills, both written and verbal.

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 does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.