ML Engineer

Who are we?

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.

We are looking for an ML Engineer who can design, build, and integrate AI-powered systems by combining machine learning models, LLMs, APIs, and enterprise data into scalable, production-grade solutions. The role requires strong system thinking, the ability to translate business needs into technical architectures, and the capability to integrate model outputs into cohesive decision systems. Success in this role depends on close collaboration with Data Scientists, ML Engineers, and application teams to operationalize intelligent solutions.

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

The targeted pay range for this position in the following location is / locations are:

Canada - Toronto Office TRO : 88,000 - 132,000 CAD / Annual

United States - Dallas Infomart Office DAI : 118,000 - 176,000 USD / Annual

Our pay ranges reflect the minimum and maximum target for new hire pay for the full-time position determined by role, level, and location.The pay range shown is based on our compensation structure in place at the time of posting and may be updated periodically based on business needs. Individual pay is based on additional factors including job-related skills, experience, and relevant education and/or training.

The targeted pay range listed reflects the base pay only and does not include bonus, equity, or benefits. Employees are eligible for bonus, and equity may be offered depending on the position.

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.

US Benefits: - Insurance: You may enroll in health, life, disability and voluntary plans that are designed for you and your eligible family members. - Retirement: You and Equinix may contribute to a retirement plan to help you plan for your financial future. - Paid Time Off (PTO) and Paid Holidays: You will receive an accrued amount of PTO each pay period along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to change and may be subject to specific plan or program terms. Canada Core Benefits: - Insurance: You may enroll in healthcare coverage that is designed to complement the provincial healthcare system, along with life, disability and optional benefit plans that are designed for you and your eligible family members. - Retirement: You may also enroll in 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: Equinix offers both vacation and personal time, along with various paid holidays for you to rest and recharge. Eligibility requirements apply to some benefits. Benefits are subject to specific plan or program terms, and to change at Equinix discretion.

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 Affirmative 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 for a backfill position, meaning it is to fill an existing vacancy within our organization.