Senior Machine Learning Engineer: ML Platforms

Senior Machine Learning Engineer: ML Platforms Mountain View, US

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 base salary range for this full-time position is $232,200 - $283,800 plus equity and benefits. This is a hybrid position in Mountain View (Headquarters) 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 changes.

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. #LI-Hybrid Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Location (City) * Resume/CV * Are you legally authorized to work in the country that this role is based? * Select... Do you need, or will you need in the future, any immigration-related support or sponsorship from EarnIn in order to begin or continue employment with EarnIn? * Select... What is your preferred pronoun? Select... Have you previously applied to a role at EarnIn? * Select... What is your primary mailing address? * Should you receive an offer, this will be used for offer and onboarding purposes. LinkedIn Profile #J-18808-Ljbffr EarnIn