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

• 2+ years of experience working in managing and leading a team of ML Engineers, driving product initiatives and impact
• Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in ML engineering and extensive knowledge of machine learning algorithms
• 2+ years of experience collaborating closely with product, analytics, engineering, and/or other partners to drive impact and be the POC from ML to initiate impactful ideas from scratch
• Hands-on experience with the architectural patterns for large-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 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.