Machine Learning Analyst

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.

ABOUT EARNIN:

As one of the 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. Since our founding, our app has been downloaded over 13M times and we have provided access to $10 billion in earnings.

We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, 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 looking for a Machine Learning Analyst to analyze and evaluate AI model outcomes specifically within the domain of large language models as well as traditional ML that will enable us to innovate and deliver Ml and generative AI applications.

As a Machine Learning Analyst, you will have the opportunity to leverage Large Language Models (LLMs) and state-of-the-art prompt techniques to improve on our AI driven use cases. You will be embedded within the Data Science team to deliver tangible business value including improving existing workflows using AI and implementing new AI applications, providing convincing reasoning and evidence of their effectiveness. You will partner with Product and other Data Scientists to rapidly innovate, deploy and iterate on these solutions to achieve business objectives that will ultimately increase revenue and reduce business costs.

This position will ideally be hybrid from our Bengaluru office as part of our expanding site location. EarnIn provides excellent benefits for our employees including healthcare, internet/cell phone reimbursement, a learning and development stipend and potential opportunities to travel to our Palo Alto HQ. Our salary ranges are determined by role, level, and location.

WHAT YOU'LL DO:

• Establish metrics to benchmark AI model issues and quantify improvements. Develop datasets, analyze and run evaluations for engineers to evaluate and improve Earnin’s product suite.
• Use technical judgment to drive project delivery, challenge proposals and identify risks
• Collaborate closely with Data Scientists and Machine Learning Engineers
• Improve tools through data analysis, technical expertise, and presentations Enhance operational workflows via process improvements and identification of automation opportunities
• Evaluate and optimize high-quality prompts for GenAI applications
• Perform systematic evaluation of prompts and LLMs across different use cases
• Recommend ways to measure performance and success of prompts
• Communicate capabilities, strengths and weaknesses of GenAI capabilities to stakeholders in a clear and concise manner for better decision making
• Stay up to date with the latest developments in GenAI (especially LLMs), in both academia and the industry, including closed-source and open-source models

WHAT WE'RE LOOKING FOR:

• 2+ years of experience as an analyst in the ML space
• Strong mathematical, statistical or data science background
• Strong understanding of ML lifecycle, LLMs, prompt engineering techniques, GenAI technologies and frameworks
• Keen interest in the development of GenAI models and applications
• Hands on experience in machine learning, predictive analytics and statistical modeling would be an advantage
• Adaptable and sensitive to the evolving nature of GenAI, understanding implications and able to think ahead
• Able to take on projects tasks independently from end-to-end
• Proficient in Python, with strong coding practices in GenAI domain including prompt libraries and prompt template reusability
• Demonstrably excellent verbal and written communication skill

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 on the basis of 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.

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.