Senior Machine Learning Engineer

Q2

5d • Hybrid

About The Position

Join a fast-growing AI engineering team building the next generation of intelligent products for the financial services industry. As a Machine Learning Engineer, you'll design and deliver production-ready AI solutions, develop the tools, APIs, and backend services that enable them, and help shape the future of our AI platform. From evaluation frameworks, deployment pipelines, and microservice-based AI capabilities to next-generation agentic workflows, you'll have the opportunity to work across the stack, prototype new ideas, and turn innovation into real customer value. We're looking for engineers who are passionate about technology, committed to building high-quality, enterprise-grade software, and who thrive in collaborative environments. The ideal candidate stays current with the rapidly evolving AI landscape, enjoys solving meaningful problems, and is excited to help build innovative solutions alongside a team that values creativity, ownership, continuous learning, and shipping great products.

Requirements

• 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.

Responsibilities

• 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.

Benefits

• Health & Wellness
• 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”

What This Job Offers

• Job Type: Full-time
• Career Level: Senior