Senior Machine Learning Engineer

Design, build, and deliver production-ready AI capabilities, services, and applications that solve real customer and business problems.

Develop scalable APIs, microservices, data integrations, and backend systems that enable AI-powered products and workflows.

Build and improve the infrastructure surrounding AI systems, including evaluation frameworks, deployment pipelines, monitoring, observability, and automated testing.

Prototype and evaluate emerging AI technologies, including LLMs and agentic workflows, and turn successful ideas into reliable, enterprise-grade solutions.

Work across cloud infrastructure, data platforms, and application layers to integrate AI capabilities into the broader Q2 technology ecosystem.

Collaborate closely with product, engineering, data, and platform teams to define solutions, make technical tradeoffs, and take ideas from early exploration through production

Typically requires a Bachelor’s degree in (relevant degree) and a minimum of 5 years of related experience; or an advanced degree with 3+ years of experience; or equivalent related work experience.

5+ years of professional software/ML/AI engineering experience, with meaningful production ownership.

Strong software engineering fundamentals and a track record of designing, building, deploying and maintaining production systems.

Strong Python, while experience with other backend/application languages such as C#, Java, TypeScript, etc. is valuable.

Experience building APIs, backend services, microservices, data integrations or distributed systems.

Hands-on experience with cloud infrastructure, containers and production deployment; Kubernetes/Docker/MLOps experience is particularly valuable.

Experience building or operating ML/AI systems in production, including evaluation, monitoring, observability and deployment pipelines.

Exposure to LLM applications, RAG, agentic workflows, model/tool integration or similar modern AI patterns.

Ability and willingness to work across traditional boundaries—AI, backend, infrastructure, data and occasionally UI/application code.

Strong ownership, curiosity and comfort operating in an environment where patterns and solutions are still being established.

This position requires fluent written and oral communication in English.

Hybrid Work Opportunities

Flexible Time Off

Career Development & Mentoring Programs

Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents

Community Volunteering & Company Philanthropy Programs

Employee Peer Recognition Programs – “You Earned it”

Click here to find out more about the benefits we offer.

We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program ( see more ). We believe in making an impact—in the industry and in the community.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.