Senior Machine Learning Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, construct, and deliver production-ready AI capabilities, services, and applications that address customer and business challenges.

• Develop scalable APIs, microservices, data integrations, and backend systems to support AI-driven products and workflows.

• Enhance AI infrastructure, including evaluation frameworks, deployment pipelines, monitoring, observability, and automated testing.

• Prototype and assess emerging AI technologies, such as LLMs and agentic workflows.

• Convert successful AI prototypes into dependable, enterprise-level solutions.

• Collaborate across cloud infrastructure, data platforms, and application layers to embed AI capabilities within Q2’s technology ecosystem.

• Partner with product, engineering, data, and platform teams to define solutions and navigate technical trade-offs.

• Advance ideas from initial exploration through to production.

⛳️ Requirements

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

• Over 5 years of professional experience in software/ML/AI engineering, with significant production ownership.

• Strong grounding in software engineering principles and a proven history of designing, building, deploying, and maintaining production systems.

• Proficient in Python; experience with C#, Java, TypeScript, etc., is advantageous.

• Familiarity with building APIs, backend services, microservices, data integrations, or distributed systems.

• Practical experience with cloud infrastructure, containers, and production deployment.

• Valuable experience with Kubernetes, Docker, and MLOps.

• Proven experience in 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 contemporary AI patterns.

• Capability and willingness to work across AI, backend, infrastructure, data, and occasionally UI/application code.

• Strong sense of ownership, curiosity, and comfort in an environment where patterns and solutions are still under development.

• Fluent in written and spoken English communication.

🏝️ Benefits

• Health & Wellness Benefits, including competitive health insurance options and generous paid parental leave for qualifying new parents.

• Hybrid Work Opportunities.

• Flexible Time Off.

• Career Development & Mentoring Programs.

• Community Volunteering & Company Philanthropy Programs.

• Employee Peer Recognition Programs – “You Earned it”.

• Ongoing learning opportunities.

• Internal mobility.

• Meaningful leadership relationships.

• Company-wide volunteer days.

• Q2 Homecoming Week featuring learning, community service, and culture-building experiences.

• Spark Program volunteer work and support for nonprofits.