Machine Learning Engineer

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 

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 needs to be done around transforming ML models to high-performance production-level code. This includes not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming, and DevOps. This position will be based in Bengaluru, which is part of our expanding site location.

WHAT YOU'll DO

• Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact.


• Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models considering use-case, complexity, performance, and robustness


• Demonstrate an end-to-end understanding of applications and develop a deep understanding of the “why” behind our models and systems.


• Work closely with data platform teams to enable robust, scalable batch and real-time data pipeline.s


• Drive the team's high ML and engineering standards through learning and knowledge sharing. Drive engineering best practices around code reviews, automated testing, and monitoring

WHAT WE'RE LOOKING FOR

• Bachelor's, MS degree, or PhD degree in Computer Science or a related technical field


• 0-1 year of experience in ML engineering


• Strong programming skills in Python and data engineering skills


• In-depth knowledge of machine learning algorithms


• Knowledge of or ability to quickly learn architectural patterns for large, high-scale software applications


• Strong oral and written communication skills


• Experience in NLP or CV is a plus

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.