Senior AI/ML Engineer

About The Role

We’re hiring for a Senior AI/ML Engineer, Growth Marketing AI to help us build the next generation of AI-powered growth and marketing capabilities at Chime. In this role, you’ll develop foundational transformer models that convert behavioral and financial data into highly personalized experiences, recommendations, and communications for millions of members. You’ll work closely with the Growth Marketing team, as well as the Product and Engineering teams to deploy scalable AI systems that improve member engagement and drive company growth.

This is a highly applied role where you’ll have the opportunity to work with rich datasets, solve challenging real-world problems, and build cutting-edge deep learning systems in production. 00.

Benefits

. The actual base salary offered may be higher, depending on your location, skills,

Qualifications

, and experience. In this role, you can expect to Develop and deploy sequential deep learning models and traditional machine learning systems to power growth and marketing initiatives Build predictive models using large-scale financial, transactional, and behavioral datasets to improve personalization and member engagement Partner cross-functionally with Growth Marketing, Product, and Engineering teams to drive strategic AI/ML initiatives Design and improve infrastructure for training, serving, and monitoring large-scale ML and deep learning systems in both batch and real-time environments Generate insights and recommendations that improve growth effectiveness and the overall member experience Contribute to experimentation frameworks, optimization strategies, and scalable ML platform capabilities Help identify technology gaps and opportunities where AI/ML solutions can create measurable business impact To thrive in this role, you have Deep expertise in building sequential and deep learning models, especially outside of traditional NLP applications and within financial or behavioral data domains Strong experience across the end-to-end ML lifecycle, including training, experimentation, optimization, deployment, and monitoring Experience working with large-scale transactional, financial, or behavioral datasets to develop predictive models Hands-on experience with AWS and modern ML infrastructure tools such as SageMaker, Kafka, Airflow, Redis, Snowflake, and Spark Strong proficiency in Python, SQL, and distributed computing and model training frameworks such as PyTorch and PySpark for scalable ML development A strong MLOps mindset with experience deploying and maintaining production-grade ML systems The ability to operate independently, collaborate cross-functionally, and move quickly in ambiguous environments #LI-GC1 #LI-Hybrid A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free.

Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members.

From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.