Senior Machine Learning Engineer (MLE)

Equinix • Redwood City, CA

5d • Onsite

About The Position

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 The Senior Machine Learning Engineer designs and implements advanced ML solutions leveraging Generative AI and Predictive AI to solve complex business challenges. This role partners with cross-functional teams to build scalable models, extract insights from design documents, and deliver automation that drives measurable impact. The Senior MLE combines strong technical expertise with practical business understanding to accelerate AI adoption across the enterprise.

Requirements

• 7+ years of experience in Machine Learning and Data Science
• Proven experience building GenAI and Predictive AI solutions
• Strong skills in extracting insights from design documents and applying them to ML workflows
• Expertise in data modeling, predictive analytics, and visualization
• Bachelor’s or Master’s in Computer Science, Data Science, or Machine Learning

Responsibilities

• AI & ML Development Build and deploy ML models using GenAI and Predictive AI for forecasting, optimization, and intelligent automation Apply NLP and document analysis techniques to extract actionable insights from design documents
• Solution Architecture Design robust ML pipelines and architectures for enterprise-scale applications Ensure solutions align with organizational goals and technology standards
• Data Engineering & Modeling Develop efficient data models and wrangling strategies for large, complex datasets Drive data discovery initiatives and communicate patterns and hypotheses to stakeholders
• Software Engineering Implement ML frameworks and coding best practices using Python, TensorFlow/PyTorch Integrate solutions with Big Data technologies (Spark, Kafka, Hadoop) for real-time and batch processing
• Visualization & Insights Create dashboards and visualizations to present ML-driven insights in a business-friendly format Translate model outputs into actionable recommendations for decision-makers
• Testing & Quality Develop repeatable test strategies for ML models ensuring accuracy and reliability Certify releases for performance and customer experience
• Collaboration & Stakeholder Engagement Work closely with product managers, data engineers, and business teams to identify high-value AI use cases Communicate technical concepts clearly to non-technical stakeholders

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees