Staff Machine Learning Engineer (Applied 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 crucial enabler for every financial service that EarnIn provides to its community members. We are going through transformative investments in machine learning platforms and algorithms. We seek experienced ML engineers to shape and execute our vision of bringing state-of-the-art capabilities to our machine learning stack. We aim to lead the innovation and operational excellence in machine learning for the fintech industry. We seek experienced engineers to create first-of-a-kind success stories through  generative AI, and state-of-the-art machine learning algorithms and realize outsize business and social impact.

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.

WHAT YOU'LL DO

• Design, develop, A/B test, and deploy risk models while collaborating with data scientists to drive data-driven decisions.
• Enhance credit and fraud models by incorporating innovative features on a quarterly basis and leveraging the latest industry research.
• Monitor feature and model health, and communicate changes in model decisions.
• Explore and integrate advanced technologies, including deep learning in the risk domain.
• Lead by example to foster operational excellence and transformative change.
• Expand responsibilities as new products emerge.

WHAT WE'RE LOOKING FOR

• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in machine learning with strong software engineering skills.
• Proficiency in a broad range of ML techniques deep learning, sequence models, and tree-based models.
• Advanced programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch.
• Hands-on experience with cloud-based ML platforms (e.g., AWS Sagemaker, Databricks, GCP Vertex AI).
• Strong communication and collaboration skills.
• Passion for continuous learning and staying updated on industry trends.

#LI-Hybrid

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.