Machine Learning Engineer

About Equinix Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet. A place where tech thinkers and future builders turn bold ideas into breakthrough experiences, we welcome your unique perspective. Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas.

You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work. Job Summary Independently leads and holds responsibility for multifaceted programs made up of multiple projects and processes; develops and reviews business cases for change and improvement. Responsibilities Engineering Expectations (Core Capabilities) Design and build end-to-end AI systems integrating ML models, LLMs, APIs, and enterprise data Translate business requirements into scalable system architectures and solution designs Develop backend services and API-driven architectures to operationalize intelligent systems Implement data and model pipelines integrating structured and unstructured data sources Work closely with Data Scientists and ML Engineers to integrate model outputs into production systems and decision workflows Apply agent-based workflows and multi-step orchestration to enable complex system behavior Ensure systems are production-ready—scalable, reliable, secure, and performant Continuously improve system performance through testing, monitoring, and iterative refinement Operating Model & Ways of Working Work closely with business, product, Data Science, and engineering teams to co-create solutions and align on outcomes Translate ambiguous problems into structured requirements and actionable system designs Engage stakeholders regularly to refine solutions and drive adoption Collaborate across teams to ensure integration with existing systems and enterprise standards Maintain high-quality documentation and enable knowledge transfer and continuity Take ownership of delivery by managing enhancements, releases, and system evolution Stay current with industry trends and contribute to continuous improvement of team capabilities Qualifications 5+ years of experience in software engineering, AI/ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field Targeted Pay Range (Canada - Toronto Office) 99,000 - 149,000 CAD per year (base pay only; benefits, bonus and equity not included) Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.

Equinix Benefits As an employee, you become important to Equinix’s success. We ensure all your benefits are in line with our core values: competitive, inclusive, sustainable, connected and efficient. We keep them competitive within the current marketplace to ensure we’re providing you with the best package possible.

So, wherever you are in your career and life, you’ll be able to enhance your experience and bring your whole self to work. Employee Assistance Program: An Employee Assistance program is available to all employees. Canada Core Benefits: Insurance: Healthcare coverage designed to complement the provincial healthcare system, along with life, disability and optional benefit plans for you and your eligible family members.

Retirement: Equinix-sponsored retirement or savings plans: Defined Contribution Pension Plan (DCPP), Group Retirement Savings Plan (RRSP) and Tax-Free Savings Plan (TSFA). Vacation and Paid Holidays: Vacation and personal time, plus various paid holidays. EEO Statement Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability.

If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affiniative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy/childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political/organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

We use artificial intelligence in our hiring process. Learn more here. This posting is a new position within our organization. #J-18808-Ljbffr