AI/ML Engineer

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Contribute to the design and implementation of training pipeline components for AI/ML models that support Chime’s risk decisioning systems.
• 2
  Develop, test, and iterate on model features within clear requirements and with support from senior team members.
• 3
  Support offline model evaluation and contribute to online experiment analysis to understand performance, tradeoffs, and member impact.
• 4
  Write modular, testable, and maintainable code following engineering best practices.
• 5
  Collaborate with Product Managers, Engineers, and Risk teams to translate model findings into clear recommendations and measurable member impact.

RequirementsAI-extracted

• 1-2 years of experience in applied data science or AI/ML engineering, including relevant internship, academic, or project experience.
• Working knowledge of machine learning fundamentals, including feature development, model training, validation, tuning, and evaluation.
• Familiarity with cloud platforms, preferably AWS, orchestration tools, and version control.
• Ability to communicate analyses and model findings clearly, clarify requirements, and collaborate effectively with technical and non-technical partners.
• Typically: Strong problem-solving skills and attention to detail.

Perks & BenefitsAI-extracted