Principal Data Scientist

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 Principal Machine Learning Engineer partners with business stakeholders and the DIO community to ensure seamless access to high-quality data for advanced AI solutions. This role is a senior technical leader responsible for designing and building ML tools leveraging Generative AI and Predictive AI to deliver transformative insights and automation. The Principal MLE combines deep expertise in machine learning, data architecture, and software engineering with strong business acumen to create scalable, high-impact solutions. The role also emphasizes extracting actionable insights from design documents and promoting shared infrastructure to reduce costs and improve information flows.

Responsibilities

AI & ML Solution Development

• Design and implement ML tools using GenAI and Predictive AI for enterprise-scale applications

• Build advanced models for forecasting, optimization, and intelligent automation across business domains

• Drive innovation in extracting insights from design documents to accelerate solution development

  
  

Business Analysis

• Partner with stakeholders to translate executive-level requirements into actionable ML strategies

• Lead discovery sessions and guide teams in identifying high-value AI use cases

  
  

Solution Architecture

• Architect strategic, cross-functional ML solutions aligned with organizational goals and technology roadmaps

• Ensure adherence to best practices in model design, integration, and performance optimization

  
  

Data Management & Modeling

• Develop robust data pipelines and architectures to support large-scale ML workloads

• Drive data discovery initiatives, formulate hypotheses, and deliver predictive insights from complex data sets

  
  

Software Engineering

• Provide technical leadership on ML frameworks, coding standards, and scalable deployment

• Expertise in Python, TensorFlow/PyTorch, and integration with Cloud ( GCP, AWS, Azure)

  
  

Visualization & Insights

• Deliver compelling dashboards and visualizations to communicate ML-driven insights

• Translate model outputs into actionable recommendations for business stakeholders

  
  

Testing & Quality Assurance

• Establish repeatable test strategies for ML models ensuring reliability and performance

• Certify product releases for accuracy and customer experience

  
  

Vendor & Technology Evaluation

• Lead evaluations of emerging AI technologies and vendors to influence enterprise AI roadmap

• Negotiate contracts and manage vendor relationships for ML platforms and tools

  
  

Qualifications

• 10+ years of experience in Machine Learning and Data Science

• Proven track record in building GenAI and Predictive AI solutions

• Strong knowledge of 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

  
  

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.

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.

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.

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