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 SummaryAs a Machine Learning Engineer, you will design, build, deploy, and scale machine learning and generative AI systems that power real-world products. You will work closely in AI Sidekick team and business teams to translate advanced ML and LLM capabilities into reliable, production‑grade solutions across multi‑cloud environments including GCP, AWS, and Azure. This role blends applied machine learning, software engineering, and MLOps, with a strong focus on building robust, scalable systems rather than purely academic research.ResponsibilitiesDesign, develop, and deploy machine learning and Large Language Model (LLM)–based solutions for production use casesCollaborate with Generative AI Center of Excellence leaders and business stakeholders to evaluate buy vs. build decisions for generative AI applicationsDevelop end-to-end ML pipelines, covering data ingestion, feature engineering, model training, evaluation, deployment, and monitoringArchitect and implement LLM-powered systems that integrate agents and services across multiple cloud platforms into a unified solutionOptimize ML workflows for performance, scalability, reliability, and cost efficiency in cloud environments (GCP, Azure, AWS)Implement and maintain MLOps best practices, including CI/CD, model versioning, experiment tracking, and automated retrainingWork extensively with deep learning frameworks such as PyTorch and TensorFlowContainerize ML services and deploy them using Docker, Kubernetes, App Engine, or virtual machinesApply strong knowledge of NLP fundamentals, including transformers, attention mechanisms, embeddings, and text preprocessingDeploy and manage models in production, conduct A/B testing, and measure performance improvements using statistical methodsDevelop features, run experiments, analyze results, and translate insights into actionable improvementsBuild and deploy classical ML models (regression, classification, clustering), NLP applications (sentiment analysis, summarization, Q&A, chatbots, information retrieval), and computer vision solutions (image classification, object detection, segmentation using models such as YOLOv7, DDRNet, RFTM with datasets like COCO and Cityscapes)QualificationsPhD with 5+ years, Master’s with 6+ years, or Bachelor’s with 7+ years of experience in Machine Learning, Computer Science, Data Science, or a related fieldStrong proficiency in Python for machine learning and production systemsSolid understanding of software engineering fundamentals, system design, and design patternsHands-on experience with at least one major cloud platform (GCP, Azure, or AWS)Experience building and deploying production-grade ML systemsStrong communication skills with the ability to explain technical concepts and results to both technical and non-technical stakeholdersExcellent time management, collaboration, and organizational skillsThis posting is for a backfill position, meaning it is to fill an existing vacancy within our organization.The targeted pay range for this position in the following location is / locations are:Canada - Toronto Office TRO : 112,000 - 162,000 CAD / AnnualOur 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 BenefitsAs 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: 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 .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 . This posting is a new position within our organization.
