Head of Machine Learning, India

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Head of Machine Learning, India Bengaluru, India 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 EarnIn is a fintech company where machine learning is embedded across our platform capabilities to power business decisions and customer experiences at scale. From risk and fraud to growth, personalization, and operational efficiency, ML systems are mission‑critical to our success. Ensuring the reliability, performance, and scalability of these systems in production is therefore a core engineering priority. The Head of Machine Learning, India, will be responsible for the success of ML systems built and operated by our India teams. This role sits at the intersection of applied science and engineering excellence, with a strong emphasis on translating research and experimentation into robust, high‑performance production systems. The ideal candidate has deep, hands-on experience deploying ML at scale, thrives in fast‑growing environments, and brings both theoretical grounding and

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