Senior AI/ML Engineer
Core
Build foundational transformer models and deep learning systems to convert behavioral and financial data into personalized experiences, recommendations, and communications for millions of members.
Role type
Senior IC machine-learning engineer (growth & marketing)
Builds
Scalable AI systems for member engagement and company growth
Domain
Fintech / Behavioral finance
Deliverable
production ML models
Required skills
Sequential deep learning, end-to-end ML lifecycle, large-scale transactional/financial datasets, AWS SageMaker, Kafka, Airflow, Redis, Snowflake, Spark, Python, SQL, PyTorch, PySpark, MLOps
Preferred skills
None stated
Technologies
AWS, SageMaker, Kafka, Airflow, Redis, Snowflake, Spark, PyTorch, PySpark
Responsibilities
Develop and deploy sequential deep learning models and traditional ML systems; Build predictive models using large-scale financial, transactional, and behavioral datasets; Partner cross-functionally with Growth & Marketing, Product, and Engineering teams; Design and improve infrastructure for training, serving, and monitoring large-scale ML and deep learning systems; Generate insights and recommendations that improve growth effectiveness; Contribute to experimentation frameworks, optimization strategies, and scalable ML platform capabilities; Identify technology gaps and opportunities for AI/ML solutions.
Seniority
Senior, hands-on IC
