As passionate about our people as we are about our mission.
Why Join Q2?
Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through cutting-edge financial technology—and we do that by empowering our people to help create success for our customers.
What Makes Q2 Special?
Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our “Circle of Awesomeness” award ceremony and day of employee celebration among others We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together.
SUMMARY
The Staff Machine Learning Engineer is a technical leader responsible for designing, building, and scaling production-grade AI systems that drive measurable business impact. This role goes beyond model development to owning end-to-end AI solutions—from problem definition through deployment, adoption, and continuous improvement.
Operating within the AI Producer model, this role partners with Product, Engineering, and Delivery teams to translate high-value opportunities into scalable AI capabilities, including agentic workflows and GenAI-powered systems.
RESPONSIBILITIES
• Design and implement machine learning algorithms and models for various business applications
• Conduct research and experimentation to advance machine learning capabilities
• Collaborate with cross-functional teams to integrate AI solutions into production environments
• Analyze large datasets to extract mean