Machine Learning Engineer, Infrastructure

About Earnin:

Earnin is a community-supported financial platform with a suite of tools that let people take control of their financial future. Earnin started out by solving one of the greatest – and least discussed – inequities in the American financial system: the practice of employers paying workers bi-weekly. Earnin's core product, Cash Out, allows people to access the pay they've already earned. There are no loans or hidden costs. People pay what they choose. Other products include: Balance Shield, which helps prevent overdrafts, a financial calendar that helps people budget and schedule payments, and Tip Yourself - a revolutionary free social savings app.  

Funding: Series C, current funding partners include Andreessen Horowitz, DST, Matrix Partners, Ribbit Capital, Felicis Ventures and March Capital. 

Join us and help build a new financial system focused on fairness and people’s needs.

You can help make a difference!

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.

 

What You'll Do:

• Design, build, and launch efficient and reliable machine learning (ML) services
• Build and maintain interfaces where the model predictions and decisions are served 
• Improve logging, monitoring, alarming of the ML services
• Track business performance of models with ad-hoc reporting
• Build and own an automated rolling-out mechanism for ML models

What We're Looking For:

• MS degree in Computer Science or a related technical field
• 3+ years of experience
• Strong programming skill in Python and data engineering skills
• Extensive knowledge of machine learning algorithms
• Hands on experience on architectural pattern for large, high scale software applications
• Industry experience building and productionizing machine learning systems
• Strong oral and written communication skills

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 on the basis of 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.   #LI-Remote