Wave HQ

Machine Learning Engineer

• Take ownership of the design and implementation of modern AI stack components, including data ingestion for AI/ML workloads and end-to-end model training and serving pipelines.
• Build and manage fault-tolerant AI platforms that scale economically. You will balance the maintenance of legacy models with the rapid development of advanced, scalable solutions.
• Provide technical mentorship to junior engineers and foster a collaborative environment. You will act as a bridge between data science and production engineering.
• Promote best practices in coding, testing, and MLOps. You thrive in ambiguous conditions by independently identifying opportunities to optimize model pipelines and improve AI workflows.
• Partner with data scientists, product managers, and software engineers to translate business needs into technical requirements and integrate AI solutions into production applications.
• Enforce model quality standards, integrity, and reliability. You will be responsible for implementing model lineage, fairness, and privacy controls within the automated pipelines.
• Build monitoring frameworks to track model performance and system KPIs, ensuring our AI initiatives drive measurable business outcomes.

Machine Learning Engineer II

Risk

• Performing complex fraud investigations using a wide variety of data in order to accept, reject or refer transactions for further investigation. You're a self-proclaimed (risk) detective!
• Assessing the chargeback risk of each business and working directly with small business owners to establish good business practices to protect themselves against disputes.
• Demonstrating strong attention to detail in minimizing fraudulent activities, identifying risk exposure, and determining regulatory or compliance violations.
• Looking for opportunities to improve the way we currently work to support efficiencies and process improvements.

Machine Learning Engineer II

Risk Analyst