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Earnin
Design, build, and launch efficient and reliable machine learning models, transforming them into high-performance, production-ready code. This includes implementing algorithms, robustness monitoring, system logging, and collaborating with data platform teams for scalable data pipelines.
Requires an MS/PhD in Computer Science or related field, 3+ years of ML engineering experience, strong Python and data engineering skills, extensive knowledge of machine learning algorithms, and experience building and productionizing ML systems.
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 a key capability, we rely heavily on ML models in business decisions and customer experiences. Therefore, ensuring the health and scalability of our machine learning systems is critical.
To ensure the success of machine learning systems, work is needed to transform ML models into high-performance, production-ready code. This includes not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming, and DevOps. This position will be hybrid, based in our Bengaluru office, as part of our expanding site. 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 Palo Alto HQ and Bangkok Site. Our salary ranges are determined by role, level, and location.
WHAT YOU'LL DOWHAT WE'RE LOOKING FOR
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.
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AI Est. Total Comp
$40,500
Location
Bengaluru, India
Work Type
Hybrid
Seniority
mid
Experience
3-5 years
Category
ML Engineering
Visa Sponsorship
Unknown
Quality Score
3.6