Senior Machine Learning Engineer, Chime

Responsibilities:

• Design, develop, and implement state-of-the-art AI/ML systems to solve various business problems.
• Analyze large structured & unstructured datasets to extract important insights and identify opportunities for AI/ML solutions.
• Proactively build advanced AI/ML techniques that can drive broad impact across multiple domains, improving overall efficiency and effectiveness.
• Communicate complex technical concepts and findings to non-technical partners effectively.
• Proactively seek internal tooling and standardization opportunities to reduce ML model development time and improve end-to-end modeling experience.
• Actively engage with the data community at Chime by sharing knowledge, suggesting process improvements, and promoting technical standards.

Requirements & Skills:

• Have 4+ years of industry experience developing AI/ML solutions from inception to business impact.
• Experience in working with advanced AI/ML techniques such as LLMs, embeddings, Graph Neural Networks (GNNs), etc
• Demonstrated expertise in developing and deploying advanced machine learning and deep learning model frameworks
• Strong programming skills (Python preferred) to enhance our ML infrastructure for model development, evaluation, and deployment at scale.
• Advanced data wrangling skills to create features and derive insights from many disparate data sources.
• Proficient in using various ML/DL toolkits, such as Huggingface, PyTorch, TensorFlow, Scikit-learn, SparkML, etc.
• Familiarity with MLOps practices and experience working with cloud services like Sagemaker, Airflow, Snowflake, Spark, Redis, Kafka, etc.
• Strong passion for collaboration and effective communication with both technical and non-technical partners.