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Sr. Machine Learning Engineer (MLE)

$186k - $280k

Equinix

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 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. Responsibilities AI & ML Development Build and deploy ML models using GenAI (LLMs and SLMs) 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 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 Qualifications 7+ years of experience in Machine Learning and Data Science Proven experience building GenAI (LLMs and SLMs) 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 Pay Range The targeted pay range for this position in the following location is / locations are: United States - Redwood City Office GHQ : 186,000 - 280,000 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. 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. Equal Opportunity 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 Affimative 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. #J-18808-Ljbffr Equinix, Inc.

Vacancy posted 3 days ago
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