About The Role
Join the Data Science and Platform (DSP) team at Chime, where you will be responsible for developing innovative machine learning (ML) solutions in the fintech industry. Your work will significantly impact various customer touch points, including account access, identity verification, transactions, ticket resolution, personalization, and marketing. This internship offers an exciting opportunity to learn and contribute to a critical development area at Chime, potentially impacting millions of our members.
What You Will Do
- Assist in the design, training, and deployment of innovative ML models, enhancing the efficacy of Chime's mission-critical machine learning systems.
- Work on internal tooling and standards that reduce ML model development time and deliver an excellent Data Science (DS) experience.
- Learn about our SageMaker ML pipeline infrastructure for model training, evaluation, and deployment at scale.
- Develop ML techniques that drive broad impact across multiple models, improving overall efficiency and effectiveness.
- Work with cross-functional Subject Matter Experts (SMEs) to understand how ML is developed and utilized at scale within a corporation, encompassing compliance workflows, design considerations, and technical architecture.
- Actively engage with the data community at Chime by sharing knowledge and learning about ML and other technical standards and processes.
- Collaborate closely with data and platform engineers to design and build next-generation data/ML products, supporting Chime's data solutions at scale.
Who You Are
- Currently pursuing a Bachelor's or Master’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- A passion for learning and applying technology to solve real-world problems.
- Proficient programming skills (Python preferred) for developing ML & feature engineering systems, and intermediate SQL skills for wrangling data from various sources.
- Coursework or hands-on experience in building advanced machine learning techniques, including GBM’s, deep learning models, embeddings, Graph Neural Networks (GNNs), transformers, etc.
- Proficiency in leveraging various ML/DL toolkits such as Keras, PyTorch, TensorFlow, Scikit-learn, SparkML, etc.
- Familiarity with cloud and infrastructure services is a plus.
- A strong passion for teamwork and effective communication with both technical and non-technical partners.
A Little About Us
At Chime, we believe that everyone can achieve financial progress. We’re passionate about developing solutions and services to empower people to succeed. Every day, we start with empathy for our members and stay motivated by our desire to support them in ways that make a meaningful difference. Chime—a financial technology company, not a bank—was founded on the premise that basic banking services should be helpful, transparent, and fair. Chime helps unlock the access and ability our members need to overcome the systemic barriers that block them from moving forward. By providing members with access to liquidity, rewards, and credit building, our easy-to-use tools and intuitive platforms give members the ability to have more control over their money and to take action toward achieving their financial ambitions.
Benefits Extracted with AI
- 401(k)
- Commuter benefits
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