AI/Machine Learning Engineer

Equinix

Dallas, UShybrid$136k-$204k/yrPosted Jul 10, 2026
Posting intelligenceActively listed

Skills

ml

About the role

AI/Machine Learning Engineer

JR-162108

Hybrid

Toronto

Dallas

Technology

Full time

Who are we?

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

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

United States - Dallas Infomart Office DAI : 136,000 - 204,000 USD / Annual

Canada - Toronto Office TRO : 99,000 - 149,000 CAD / 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 form.

We use artificial intelligence in our hiring process. Learn more here.

This posting is a new position within our organization.

Compensation

This Machine Learning Engineer role pays $136k-$204k/yr. Within typical range for machine learning engineer roles in United States.

Questions about this role

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Compensation for Machine Learning Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Machine Learning Engineer hub for United States medians across recent openings.

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