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Head of Machine Learning

Lead and scale machine learning efforts at EarnIn, a fintech company focused on real-time financial flexibility.

Location
Mountain View, US
Compensation
$477k–$583k/yr
Level
c-level
Type
full time · Hybrid

Posted by employer 1 year ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Earnin → Save job Scanned from earnin.com

Skills & Technologies

SQL Python Flexible on stack

Role intensity

40% coding

AI in the day-to-day

EarnIn may use AI-powered tools during the hiring process for various tasks.

Requirements

Experience
12+ years
Education
Master's degree

Not disclosed in this posting: visa sponsorship.

Benefits

Equity/Stock Options

Joblaze summary

The Head of Machine Learning at EarnIn is responsible for leading the company's machine learning initiatives, ensuring that models transition effectively from research to production while maintaining high performance and reliability. This role requires a strong foundation in coding and extensive experience in deploying machine learning systems, particularly in fast-paced environments. Ideal candidates will have a significant background in engineering or scientific domains, along with proven leadership skills in building and managing high-performing teams. EarnIn's focus on innovative financial solutions positions this role at the forefront of transformative technology in fintech.

Joblaze insights

Quick facts

Is the Head of Machine Learning role remote?
It's hybrid — Earnin expects some on-site time in Mountain View, US.
What's the salary range?
Earnin lists $477,000–$583,000 for this role.
How much experience is required?
At least 12 years of relevant experience for this Head of Machine Learning role.
Where is the role based?
Earnin is hiring for this position in Mountain View, US.
What's the tech stack?
Joblaze extracted these technologies from the posting: Python, SQL.
What seniority level is this role?
Earnin targets c-level candidates for this position.
Is this full-time or contract?
Full-time for this Head of Machine Learning role at Earnin.

From the original posting

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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