Senior Machine Learning Engineer (Algorithms)

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

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 implementing sophisticated machine learning algorithms and robustness monitoring, system logging/alarming, and DevOps.

This position will be a hybrid from our Bengaluru office as part of our expanding site location with 2 days a week in the office. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and potential 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 state-of-the-art multi-modal, multi-task deep learning models as well as statistical 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 real-time 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

5+ years of experience in ML engineering

Strong programming skills in Python and data engineering skills

Extensive knowledge of machine learning algorithms

Hands-on experience with the architectural pattern for large, high-scale software applications

Industry experience building and taking to production machine learning systems

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