Equinix · 18 hours ago
Director, Machine Learning
Equinix is the world’s digital infrastructure company®, enabling innovations that enrich our work and life. The Director of Machine Learning is a senior leadership role responsible for shaping and executing the organization’s machine learning strategy, overseeing the development of advanced ML models, and guiding cross-functional teams to leverage AI technologies for business impact.
Cloud Data ServicesData CenterInformation TechnologyInfrastructureInternetSoftware
Responsibilities
Develop and own the company-wide machine learning strategy aligned with business objectives
Identify high-impact opportunities for ML across products, operations, and customer experiences
Advocate for ethical, secure, and responsible AI development and usage
Lead, mentor, and grow high-performing teams of ML engineers, data scientists, and research scientists
Establish best practices in model development, experimentation, deployment, and monitoring
Allocate team resources and prioritize projects to balance innovation with ROI
Oversee the design, development, and deployment of production-grade machine learning models
Partner with engineering leadership to build scalable ML infrastructure, including MLOps, data pipelines, and cloud architecture
Review and guide technical work, ensuring scientific rigor, reproducibility, and quality
Work closely with product, engineering, data, and executive teams to align ML initiatives with organizational goals
Communicate complex ML concepts—tradeoffs, risks, timelines—to non-technical stakeholders
Support product strategy by integrating ML capabilities into roadmaps
Implement processes for model governance, bias monitoring, versioning, and auditability
Track and report on key ML KPIs, model performance, and business impact
Ensure compliance with regulatory standards related to AI/ML as applicable
Qualification
Required
Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or related field
10+ years of experience in ML/AI engineering, data science, or applied research
5+ years leading technical teams, including people management responsibility
Expertise in modern ML techniques (deep learning, LLMs, reinforcement learning, generative models, etc.)
Proficiency with ML frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face)
Strong understanding of MLOps, cloud platforms (Azure, AWS, GCP), and scalable data architectures
Proven track record deploying ML models into production environments
Preferred
Experience building ML platforms or ML-driven products at scale
Background working in regulated industries (finance, healthcare, etc.) if relevant
Demonstrated experience with LLM fine-tuning, retrieval-augmented generation (RAG), or generative AI
Strong business acumen and ability to influence senior leaders
Benefits
Employee Assistance Program
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.
Company
Equinix
Equinix is an internet company that provides data center services for companies, businesses, and organizations.
H1B Sponsorship
Equinix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (113)
2024 (157)
2023 (117)
2022 (121)
2021 (179)
2020 (122)
Funding
Current Stage
Public CompanyTotal Funding
$4.27BKey Investors
Elliott Management Corp.Crosslink Capital
2025-11-19Post Ipo Debt· $499.92M
2025-07-22Post Ipo Equity
2025-03-17Post Ipo Debt· $374.96M
Leadership Team
Recent News
2026-01-25
Company data provided by crunchbase