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Senior Machine Learning Engineer: ML Algorithms

Pioneer in earned wage access, building products for real-time financial flexibility for those living paycheck to paycheck.
$232,200 - $283,800
Machine Learning
Senior Software Engineer
Hybrid
501 - 1,000 Employees
4+ years of experience
Finance · AI

Description For Senior Machine Learning Engineer: ML Algorithms

EarnIn, a pioneer in earned wage access, is seeking a Senior Machine Learning Engineer to join their innovative fintech team. This role is crucial in developing and implementing machine learning solutions for financial risk modeling, directly impacting the company's mission to provide real-time financial flexibility to those living paycheck to paycheck.

The position offers a competitive salary range of $232,200 - $283,800, plus equity and benefits, and follows a hybrid work model requiring 2 days per week in the Mountain View office. The role sits at the intersection of machine learning and financial services, where you'll be working on groundbreaking solutions that generate substantial business and social impact.

As a Senior ML Engineer, you'll be responsible for designing and deploying risk models, enhancing credit and fraud detection systems, and exploring cutting-edge technologies including deep learning and LLMs. The ideal candidate brings 4+ years of machine learning experience, strong software engineering skills, and specific experience in risk modeling for financial use cases.

EarnIn is backed by prestigious investors like A16Z, Matrix Partners, DST, and Ribbit Capital, offering a stable yet growing environment. The company values diversity and inclusion, believing that the best way to build a financial system that works for everyone is through a team that represents their diverse community. This role offers an opportunity to make a meaningful impact while working with advanced technologies in a mission-driven organization.

Last updated 2 months ago

Responsibilities For Senior Machine Learning Engineer: ML Algorithms

  • Design, develop, A/B test, and deploy risk models while collaborating with data scientists
  • Enhance credit and fraud models by adding innovative features quarterly
  • Monitor feature and model health, and communicate changes in model decisions
  • Explore and integrate advanced technologies, including deep learning and LLMs, in the risk domain
  • Lead by example to foster operational excellence and transformative change
  • Expand responsibilities as new product needs arise

Requirements For Senior Machine Learning Engineer: ML Algorithms

Python
  • Bachelor's/Master's in Computer Science, Engineering, or related
  • 4+ years of machine learning experience with strong software engineering skills
  • Experience with Risk modeling for financial use cases
  • Proficiency in ML techniques (LLMs, deep learning, sequence, and tree-based models)
  • Advanced Python programming, SQL, and data manipulation skills
  • Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms
  • Excellent communication and collaboration abilities
  • A passion for continuous learning and personal growth

Benefits For Senior Machine Learning Engineer: ML Algorithms

Equity
Medical Insurance
  • Competitive salary ($232,200 - $283,800)
  • Equity
  • Medical benefits
  • Hybrid work arrangement

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