Senior AI/ML Engineer

Chime Financial • Chicago, NY

1d • Hybrid

About The Position

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. The base salary offered for this role and level of experience will begin at $172,000.00 and up to $238,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and 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

Requirements

• 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

Responsibilities

• 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

Benefits

• bonus
• competitive equity package
• 401k match
• medical, dental, vision, life, and disability benefits
• Generous vacation policy and company-wide Chime Days
• company-wide paid days off
• 1% of your time off to support local community organizations of your choice
• Annual wellness stipend
• Up to 24 weeks of paid parental leave for birthing parents
• 12 weeks of paid parental leave for non-birthing parents
• Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more
• In-person and virtual events to connect with your fellow Chimers
• delicious snack boxes

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed