EarnIn
Senior Applied Machine Learning Engineer
Mountain View, US About EarnIn
As one of the first pioneers of earned wage access, EarnIn delivers real-time financial flexibility for people living paycheck to paycheck. Members access their earnings as they earn them, with options to spend, save, and grow money without mandatory fees, interest, or credit checks. EarnIn is backed by experienced leadership and funding partners and is growing rapidly. This role supports a transformative phase in ML within fintech, focusing on foundational ML models and solutions with substantial business and social impact. Position Summary
Machine learning is integral to every financial service EarnIn provides. This role will contribute to developing groundbreaking foundational ML models and solutions. The base salary range for this full-time position is $232,200 - $283,800, plus equity and benefits. This is a hybrid position requiring 2 days per week in Mountain View, CA. What You’ll Do
Design, develop, A/B test, and deploy models while collaborating with data scientists to drive data-driven decisions. Enhance models by incorporating innovative features quarterly and leveraging the latest industry research. 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 products emerge. What We’re Looking For
Bachelor’s or Master’s in Computer Science, Engineering, or equivalent industry experience. 4+ years of machine learning experience with strong software engineering skills. Experience with risk modeling for financial use cases is a bonus. Proficiency in ML techniques (LLMs, deep learning, sequences, and tree-based models). Advanced Python programming, SQL, and data manipulation skills. Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS Sagemaker, Databricks, GCP Vertex AI). Excellent communication and collaboration abilities. A passion for continuous learning and growth in a dynamic environment. EEO Information
EarnIn is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, gender identity or expression, national origin, age, disability, or any other legally protected status. EarnIn is an E-Verify participant.
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Mountain View, US About EarnIn
As one of the first pioneers of earned wage access, EarnIn delivers real-time financial flexibility for people living paycheck to paycheck. Members access their earnings as they earn them, with options to spend, save, and grow money without mandatory fees, interest, or credit checks. EarnIn is backed by experienced leadership and funding partners and is growing rapidly. This role supports a transformative phase in ML within fintech, focusing on foundational ML models and solutions with substantial business and social impact. Position Summary
Machine learning is integral to every financial service EarnIn provides. This role will contribute to developing groundbreaking foundational ML models and solutions. The base salary range for this full-time position is $232,200 - $283,800, plus equity and benefits. This is a hybrid position requiring 2 days per week in Mountain View, CA. What You’ll Do
Design, develop, A/B test, and deploy models while collaborating with data scientists to drive data-driven decisions. Enhance models by incorporating innovative features quarterly and leveraging the latest industry research. 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 products emerge. What We’re Looking For
Bachelor’s or Master’s in Computer Science, Engineering, or equivalent industry experience. 4+ years of machine learning experience with strong software engineering skills. Experience with risk modeling for financial use cases is a bonus. Proficiency in ML techniques (LLMs, deep learning, sequences, and tree-based models). Advanced Python programming, SQL, and data manipulation skills. Experience with ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS Sagemaker, Databricks, GCP Vertex AI). Excellent communication and collaboration abilities. A passion for continuous learning and growth in a dynamic environment. EEO Information
EarnIn is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, gender identity or expression, national origin, age, disability, or any other legally protected status. EarnIn is an E-Verify participant.
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