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 Machine learning is integral to every financial service we provide. As we embark on a transformative phase, EarnIn is making significant investments to innovate and set new standards in ML applications within fintech. We are seeking skilled engineers to create groundbreaking solutions with large language models, generative AI, and advanced machine learning algorithms, generating substantial business and social impact. The Palo Alto base salary range for this full-time position is $232,200 - $283,800 plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Palo Alto and will require in-office work 2 days a week. WHAT YOU'LL DO: <ul> <li>Design, develop, A/B test, and deploy machine learning models that drive EarnIn's products. </li><li>Train, fine-tune, evaluate, and operationalize large language models (LLMs) and AI agents, delivering radical efficiency gains to our core processes. </li><li>Continuously improve model performance by leveraging the latest research and open-source tools. </li><li>Champion data-driven decision-making and maintain scientific rigor in the deployment of ML solutions. </li><li>Collaborate closely with ML platform engineers to optimize tools and processes for stability and reproducibility. </li><li>Explore and integrate cutting-edge technologies to enhance EarnIn's ML capabilities. </li><li>Lead by example, fostering an environment of operational excellence and driving transformative change. </li></ul>WHAT WE'RE LOOKING FOR <ul> <li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field. </li><li>4+ years of experience in machine learning with strong software engineering skills. </li><li>Proficiency in a broad range of ML techniques, including LLMs, deep learning, sequence models, and tree-based models. </li><li>Advanced programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch. </li><li>Hands-on experience with cloud-based ML platforms (e.g., AWS Sagemaker, Databricks, GCP Vertex AI). </li><li>Hands-on experience with modern LLM stack: foundations models and APIs such as Open AI and Antropic; LLM guardrails, framework such as LangGraph, LangChain; ML flow. </li><li>Strong communication and collaboration skills. </li><li>Passion for continuous learning and staying updated on industry trends. </li></ul> 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. #LI-Hybrid

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

Machine learning is the crucial enabler for every financial service EarnIn provides its community members. We are going through transformative investments in machine learning platforms and algorithms. We seek experienced ML platform engineers to shape and execute the vision of bringing state-of-the-art capabilities to our machine-learning stack.

The Palo Alto base salary range for this full-time position is $272,700 - $333,300 plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Palo Alto and will require in-office work 2 days a week.

WHAT YOU'LL DO
Design, build, and maintain the ML platform and tools to support the end-to-end machine learning lifecycle.
Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure reproducibility.
Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform.
Contribute to the evaluation and adoption of new technologies and tools to enhance our machine-learning capabilities.
Provide technical guidance and mentorship to junior team members.
Set examples of outstanding operational excellence. Be the catalyst of step-jump changes.
WHAT WE'RE LOOKING FOR     Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
7+ years of industry machine learning experience and excellent software engineering skills.
Strong programming skills in Python, and familiarity with ML frameworks such as TensorFlow or PyTorch.
Experience with ML cloud platforms such as AWS Sagemaker, Databricks, or GCP Vertex AI.
Familiarity with data pipeline and workflow management tools.
Strong communication and collaboration skills.
Passion for learning and staying updated with the latest industry trends in machine learning and platform engineering.

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.

#LI-Hybrid

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
Machine learning is integral to every financial service we provide. As we embark on a transformative phase, EarnIn is making significant investments to innovate and set new standards in ML applications within fintech. We are seeking skilled engineers to create groundbreaking solutions with large language models, generative AI, and advanced machine learning algorithms, generating substantial business and social impact.
The Palo Alto base salary range for this full-time position is $232,200 - $283,800 plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Palo Alto and will require in-office work 2 days a week.
WHAT YOU'LL DO:
Design, develop, A/B test, and deploy machine learning models that drive EarnIn’s products.
Train, fine-tune, evaluate, and operationalize large language models (LLMs) and AI agents, delivering radical efficiency gains to our core processes.
Continuously improve model performance by leveraging the latest research and open-source tools.
Champion data-driven decision-making and maintain scientific rigor in the deployment of ML solutions.
Collaborate closely with ML platform engineers to optimize tools and processes for stability and reproducibility.
Explore and integrate cutting-edge technologies to enhance EarnIn’s ML capabilities.
Lead by example, fostering an environment of operational excellence and driving transformative change.
WHAT WE'RE LOOKING FOR
Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
4+ years of experience in machine learning with strong software engineering skills.
Proficiency in a broad range of ML techniques, including LLMs, deep learning, sequence models, and tree-based models.
Advanced programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch.
Hands-on experience with cloud-based ML platforms (e.g., AWS Sagemaker, Databricks, GCP Vertex AI).
Hands-on experience with modern LLM stack: foundations models and APIs such as Open AI and Antropic; LLM guardrails, framework such as LangGraph, LangChain; ML flow.
Strong communication and collaboration skills.
Passion for continuous learning and staying updated on industry trends.
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.

#J-18808-Ljbffr

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 Machine learning is the crucial enabler for every financial service Earnin provides its community members. We are going through transformative investments in machine learning platforms, algorithms, and generative AI. We seek experienced ML platform engineers to shape and execute the vision of bringing state-of-the-art capabilities to our machine-learning stack. The Palo Alto base salary range for this full-time position is $232,200 - $283,800 plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Palo Alto and will require in-office work 2 days a week. WHAT YOU'LL DO:
Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle.
Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure reproducibility.
Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform.
Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities.
Set examples of outstanding operational excellence. Be the catalyst of step-jump change.s
WHAT WE'RE LOOKING FOR Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
4+ years of industry machine learning experience and excellent software engineering skills.
Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow or PyTorch.
Experience with ML cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI.
Experience with LLM Ops, foundation model APIs and AI engineering.
Familiarity with data pipeline and workflow management tools.
Strong communication and collaboration skills.
Passion for learning and staying updated with the latest machine learning and platform engineering industry trends. 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. #LI-Hybrid

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 Machine learning is the crucial enabler for every financial service Earnin provides its community members. We are going through transformative investments in machine learning platforms, algorithms, and generative AI. We seek experienced ML platform engineers to shape and execute the vision of bringing state-of-the-art capabilities to our machine-learning stack. The Palo Alto base salary range for this full-time position is $232,200 - $283,800 plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Palo Alto and will require in-office work 2 days a week. WHAT YOU'LL DO: <ul> <li>Design, build, and maintain the ML and AI platform and tools to support the end-to-end machine learning lifecycle. </li><li>Work closely with other machine learning engineers to understand their workflows, optimize model training and deployment processes, and ensure reproducibility. </li><li>Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform. </li><li>Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities. </li><li>Set examples of outstanding operational excellence. Be the catalyst of step-jump change.s </li></ul>WHAT WE'RE LOOKING FOR <ul> <li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field. </li><li>4+ years of industry machine learning experience and excellent software engineering skills. </li><li>Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. </li><li>Experience with ML cloud platforms like AWS Sagemaker, Databricks, or GCP Vertex AI. </li><li>Experience with LLM Ops, foundation model APIs and AI engineering. </li><li>Familiarity with data pipeline and workflow management tools. </li><li>Strong communication and collaboration skills. </li><li>Passion for learning and staying updated with the latest machine learning and platform engineering industry trends. </li></ul> 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. #LI-Hybrid

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