Head of Machine Learning

Reposted 2 Days Ago
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Mountain View, CA, USA
In-Office
414K-506K Annually
Expert/Leader
Fintech • Payments • Financial Services
The Role
Lead and scale machine learning efforts, manage teams, drive operational excellence, and align ML strategies with business goals.
Summary Generated by Built In
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 

We are seeking an experienced and visionary Head of Machine Learning to lead and scale our machine learning efforts across the company. As a fintech company where data and machine learning (ML) is integral to both our business strategy and user experience, we depend on robust, scalable systems to drive impactful decisions and deliver exceptional customer value. Our mission is to pioneer success stories through the application of generative AI and state-of-the-art machine learning algorithms, thereby generating transformative business and societal impact.

The Head of ML will drive operational excellence across our machine learning systems by defining and executing a vision that moves models from research to production with strong performance, reliability, and maintainability. The ideal candidate will bring a proven track record of deploying ML models at scale, particularly in fast-paced startup environments. This leader should have a strong coding foundation, deep familiarity with production-grade ML engineering practices, and the ability to bridge theoretical concepts with practical implementation. While the role is primarily strategic and operational, it also requires a willingness to be hands-on and contribute code when needed to support the team and accelerate key initiatives.

The Mountain View base salary range for this full-time position is $477,000 to $583,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week.

WHAT YOU'LL DO 

  • Define and own the machine learning roadmap in alignment with business goals.
  • Lead the ML organization, consisting of multiple teams, to design, develop, and optimize ML-based models and systems.
  • Drive a culture of scientific and engineering rigor and real-world pragmatism in your team's work, particularly to quantify the impact of features on relevant engagement metrics.
  • Collaborate with software engineers, data engineers, product managers, and marketing to coordinate timely deployments from conception to release

WHAT WE'RE LOOKING FOR 

  • MS or Ph.D. degree in Computer Science, Statistics, or a related technical field, and or equivalent work experience
  • 12+ years of experience in Engineering or Scientific domains,
  • 7+ years of experience as a team builder and leader in hiring, developing, and managing high-performing teams
  • Extensive breadth and depth of knowledge of machine learning algorithms
  • Industry experience building and productionizing machine learning systems
  • Advanced knowledge of Python, SQL
  • Strong oral and written communication skills

#LI-Hybrid

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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The Company
HQ: Palo Alto, CA
229 Employees
Year Founded: 2012

What We Do

Earnin’s mission is to build a financial system that works for people. Every year, while Americans wait for their paychecks, more than $1 trillion of their hard-earned money is held up in the pay cycle. As a result, we accumulate over $50 billion in late and overdraft fees and turn to high-interest loans. We seek to eliminate those fees and put money back into workers’ hands. Our financial system doesn’t work for people. But Earnin does. Earnin is an app that lets people get paid as soon as they leave work, with no fees, interest, or hidden costs. App users can receive their money in their bank account instantly at little or no cost — as we operate on a pay what you choose model. All they need is a bank account and a job that provides direct deposit or uses electronic timesheets. At Earnin, we’re building the way we think a financial system should work for everyone, not just the people who can afford it. We help people take control of their money and get to a better financial place. Our goal is not only to provide great products at little or no cost to the people who need them but also to inspire kindness across the financial world and eventually across all industries.

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