Engineering Manager, Machine Learning

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 drivers of impact, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, ensuring that we build and deploy state-of-the-art ML capabilities and improve the health and scalability of our machine learning systems is critical.

To ensure the success of machine learning systems, work must be done to transform ML models into high-performance, production-level code, including implementing sophisticated machine learning algorithms, robustness monitoring, system logging and alarming, and implementing DevOps practices. This position will be hybrid from our Bengaluru office as part of our expanding site location. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Mountain View HQ and Bangkok Site. Our salary ranges are determined by role, level, and location.

WHAT YOU'LL DO

Lead a team of Machine Learning Engineers and ML Analysts to drive core ML initiatives involving multimodal data streams

Review designs and drive the launch of efficient and reliable models to drive business impact

Find innovative and cost-effective solutions to key problems, and deliver high-quality code

Work with product managers/machine learning engineers/performance quality engineers to take the product to market

Enable the team to train and deploy state-of-the-art multi-task deep learning and/or statistical model pipelines, 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 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