Director, Machine Learning

Who are we?

Job Summary

The Director of Machine Learning is a senior leadership role responsible for shaping, executing, and scaling the organization's machine learning strategy. This leader oversees the development and deployment of advanced ML models, guides cross-functional teams, and ensures the organization leverages AI technologies to drive innovation, efficiency, and business impact. The ideal candidate has deep technical expertise, proven leadership experience, and the ability to translate complex ML concepts into meaningful business outcomes.

Responsibilities

Strategic Leadership

• 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

Team & Project Management

• 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

Technical Leadership

• 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

CrossFunctional Collaboration

• 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

Governance & Performance

• 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

Qualifications

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

Key Competencies

• Strategic thinking and visionsetting

• Excellent communication and stakeholder management

• Technical depth paired with practical delivery

• Leadership, coaching, and talent development

• Innovation mindset with datadriven decision-making

The targeted pay range for this position in the following location is / locations are:

United States - Redwood City Office GHQ : 240,000 - 360,000 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.

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.

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