Machine Learning Analyst
EarnIn is seeking a Machine Learning Analyst to analyze and evaluate AI model outcomes, particularly within large language models and traditional ML, to innovate and deliver ML and generative AI applications. This role involves leveraging LLMs and state-of-the-art prompt techniques to improve AI-driven use cases, partnering with Data Scientists and Product to rapidly deploy solutions that achieve business objectives, and optimizing prompts for GenAI applications.
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. 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, 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.
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.
Posted June 3, 2026