EarnIn

Fintech

EngineeringManager,MachineLearning

₹45–70L ~AI est. Bengaluru, Karnataka, India Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Engineering Manager, Machine Learning at EarnIn. Skills: Machine Learning, MLOps, Deep Learning. Lead ML Engineers. Drive ML initiatives”

What You'll Achieve.

Improve system health; Improve system scalability

Industry & Context.

Fintech
Problems you'll solve

Root cause analysis

Eligibility Requirements

Travel to HQ, Travel to Bangkok

What They're Looking For.

Must Have

2+ years managing ML Engineers, Bachelor's or Master's degree, 5+ years ML engineering, 2+ years collaborating with partners

What You'll Do.

Work with product managers

Demonstrate understanding

Develop understanding

Partner with product managers

Analyze business problems

Enable data pipelines

Drive engineering standards

How You'll Work.

Team & Collaboration

Product managers; ML engineers; Performance quality engineers; Data platform teams; Tech leads; Stakeholders

Full Job Description

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 dr

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