Principal Machine Learning Engineer

📋 Description

• Lead the technical direction, architecture, and evolution of cloud-native platform services
• Drive the design and implementation of scalable Kubernetes-based infrastructure that supports AI/ML
• Partner with engineering, infrastructure, product, and platform teams to modernize critical
• Design and build highly available, secure, observable, and resilient distributed systems supporting
• Establish architectural standards, engineering best practices, and platform patterns that can be
• Drive automation across infrastructure provisioning, deployment pipelines, service operations

🎯 Requirements

• 15+ years of experience building large-scale distributed systems, cloud platforms, infrastructure
• Deep expertise in Java, Go, Python, or similar systems programming languages.
• Proven experience designing, building, and operating highly scalable cloud-native architectures.
• Expert knowledge of Kubernetes, containers, orchestration platforms, and modern cloud
• Experience building platform services used across multiple engineering teams and products.
• Strong understanding of distributed systems principles, including resiliency, fault tolerance

🎁 Benefits

• Base pay of $240,100 - $420,200
• Equity (when applicable)
• Variable/incentive compensation
• Health plans including flexible spending accounts
• 401(k) Plan with company match
• ESPP