Role overview

Wave supports small businesses in thriving and strengthening their communities. As a Machine Learning Engineer, you will play a central role in creating and implementing foundational AI and ML models that drive the company’s data initiatives. This position focuses on building the infrastructure and systems that enable advanced analytics and business intelligence across the organization.

Key responsibilities

Design and develop machine learning models that serve as core components of Wave’s AI strategy.
Build and maintain scalable machine learning pipelines that reliably process and analyze data at scale.
Create robust platforms that integrate ML capabilities into business operations and decision-making processes.
Ensure machine learning systems are efficient, reliable, and aligned with organizational objectives.
Contribute to the deployment of advanced analytics solutions that support business intelligence across teams.

Requirements

Significant experience in machine learning engineering and model development.
Demonstrated expertise in designing and building scalable ML systems and pipelines.
Proven ability to deliver production-grade machine learning solutions.
Strong technical foundation in data engineering and platform development.

What makes this role worth considering

Wave operates in a collaborative environment that values creative problem-solving and continuous learning. The company emphasizes bold thinking, rapid skill development, and a culture where team members actively share knowledge and expertise. You will have flexibility in how you work while remaining connected to a mission-driven organization.