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. Since our founding, our app has been downloaded over 13M times and we have provided access to over $15 billion in earnings.

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 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. This position will be hybrid from our Bengaluru office as part of our expanding site location. EarnIn provides excellent benefits for our employees including healthcare, internet/cell phone reimbursement, a learning and development stipend and opportunities to travel to our Palo Alto HQ. Our salary ranges are determined by role, level, and location.

WHAT YOU'LL DO

• Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact
• Train and validate both deep learning-based and statistical-based models considering use-case, complexity, performance, and robustness
• Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems
• Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements and define the scope of the systems needed
• Work closely with data platform teams to enable robust scalable batch and realtime data pipelines
• Drive high ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing and monitoring

WHAT WE'RE LOOKING FOR:

• MS degree or PhD degree in Computer Science or a related technical field
• 4+ years of experience in ML engineering
• 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
• Experience is NLP or CV is a plus