Web3 Machine Learning Security Jobs

Who We Are:Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we’re building the products and services to make that future a reality. Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U.S. We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI. Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. To learn more about our businesses and products, visit www.galaxy.com.

What We Value:

We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.

• Seek Excellence.
• Be Selective To Be Effective.
• Be Highly Aligned, Loosely Coupled.
• Disagree Transparently.
• Encourage Independent Decision-Making.
• Build Dream Teams.

About the role

We are building a large-scale, enterprise-grade AI platform that supports advanced machine learning systems end-to-end—from model development and training to secure, reliable, production deployment. We are looking for a senior infrastructure leader who has designed and operated modern ML platforms at scale and understands the operational, security, and reliability challenges of real-world AI systems.

This role sits at the intersection of infrastructure engineering, MLOps, DevOps, and security, with a mandate to build systems that are fast for developers, safe for the business, and resilient in production.

What you’ll do

· Architect and own the core infrastructure for AI and ML workloads, including training, inference, experimentation, and evaluation.

· Design and operate Kubernetes-based platforms for scalable, reliable, and cost-efficient AI workloads.

· Build and evolve MLOps pipelines: model training, versioning, deployment, monitoring, rollback, and lifecycle management.

· Establish best practices for DevOps and CI/CD across data, ML, and application layers.

· Lead security and compliance for AI systems: secrets management, access controls, isolation, auditability, and supply-chain security.

· Ensure high availability, observability, and incident response for production AI services.

· Partner closely with ML engineers, researchers, and application teams.

· Set technical direction, review designs, and mentor engineers.

What we’re looking for

· 10+ years of experience in infrastructure, platform, or systems engineering.

· Deep, hands-on experience with Kubernetes in production.

· Strong background in MLOps and ML platform operations.

· Experience across DevOps, CI/CD, and cloud infrastructure (AWS, GCP, or Azure).

· Proven ability to design secure, enterprise-grade systems.

· Proficiency in Go, Python, Java, or similar.

Nice to have

· Experience supporting GPU-accelerated workloads.

· Familiarity with security and compliance frameworks.

· Experience building internal platforms for multiple teams.

· Prior work on enterprise-facing AI platforms.

Why join

· Own and shape the foundation of a next-generation AI platform.

· High-impact, high-autonomy role with architectural authority.

· Competitive compensation and long-term growth.

The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives.

Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances.

We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact