EarnIn
Overview
As one of the first pioneers of earned wage access, EarnIn builds products that deliver real-time financial flexibility for those living paycheck to paycheck. Community members access their earnings as they earn them, with options to spend, save, and grow money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an experienced leadership team and world-class funding partners. We’re growing fast and continue to bring world-class talent onboard to shape the next chapter of our growth journey. Position Summary
Machine learning is a crucial enabler for every financial service EarnIn provides. We are investing in ML platforms and algorithms. This is an exciting opportunity for a Senior Staff Machine Learning Engineer / Technical Lead Manager to lead a team of ML Platform Engineers and execute the vision of bringing state-of-the-art capabilities to our machine-learning stack. This is a hands-on leadership role with significant product and company impact. The Mountain View base salary range for this full-time position is $360,000 to $440,000, plus equity and benefits. This is a hybrid role in Mountain View, requiring in-office work 2 days a week. What You’ll Do
Design, build, and maintain a robust ML platform and tooling ecosystem that supports the entire machine learning lifecycle, from experimentation to production. Lead and mentor a team of ML engineers, understanding their workflows to streamline model training, deployment, and monitoring, while ensuring reproducibility and consistency of results. Drive scalability, reliability, and cost efficiency of the ML platform, balancing performance with ease of use for scientists and engineers. Evaluate and adopt emerging technologies to advance the organization’s ML capabilities and maintain a competitive edge. Champion operational excellence, setting a high bar for engineering quality, reliability, and automation. Spearhead step-change improvements that unlock new opportunities for growth and efficiency. What We’re Looking For
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 7+ years of industry machine learning experience and strong software engineering skills. Strong Python programming skills, with familiarity in ML frameworks such as TensorFlow or PyTorch. Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI. Familiarity with data pipelines and workflow management tools. Strong communication and collaboration skills. Passion for learning and staying updated with the latest industry trends in ML and platform engineering. #LI-Hybrid Equal Employment Opportunity
EarnIn is an equal opportunity employer. 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, sexual orientation, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.
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As one of the first pioneers of earned wage access, EarnIn builds products that deliver real-time financial flexibility for those living paycheck to paycheck. Community members access their earnings as they earn them, with options to spend, save, and grow money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an experienced leadership team and world-class funding partners. We’re growing fast and continue to bring world-class talent onboard to shape the next chapter of our growth journey. Position Summary
Machine learning is a crucial enabler for every financial service EarnIn provides. We are investing in ML platforms and algorithms. This is an exciting opportunity for a Senior Staff Machine Learning Engineer / Technical Lead Manager to lead a team of ML Platform Engineers and execute the vision of bringing state-of-the-art capabilities to our machine-learning stack. This is a hands-on leadership role with significant product and company impact. The Mountain View base salary range for this full-time position is $360,000 to $440,000, plus equity and benefits. This is a hybrid role in Mountain View, requiring in-office work 2 days a week. What You’ll Do
Design, build, and maintain a robust ML platform and tooling ecosystem that supports the entire machine learning lifecycle, from experimentation to production. Lead and mentor a team of ML engineers, understanding their workflows to streamline model training, deployment, and monitoring, while ensuring reproducibility and consistency of results. Drive scalability, reliability, and cost efficiency of the ML platform, balancing performance with ease of use for scientists and engineers. Evaluate and adopt emerging technologies to advance the organization’s ML capabilities and maintain a competitive edge. Champion operational excellence, setting a high bar for engineering quality, reliability, and automation. Spearhead step-change improvements that unlock new opportunities for growth and efficiency. What We’re Looking For
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 7+ years of industry machine learning experience and strong software engineering skills. Strong Python programming skills, with familiarity in ML frameworks such as TensorFlow or PyTorch. Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI. Familiarity with data pipelines and workflow management tools. Strong communication and collaboration skills. Passion for learning and staying updated with the latest industry trends in ML and platform engineering. #LI-Hybrid Equal Employment Opportunity
EarnIn is an equal opportunity employer. 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, sexual orientation, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.
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