Staff ML Infrastructure Engineer (MLOps)

TL;DR

Staff ML Infrastructure Engineer (MLOps): Architecting and operating production-grade ML systems at scale with an accent on distributed training pipelines, feature stores, and high-throughput inference serving. Focus on optimizing GPU utilization, designing zero-downtime deployment systems, and industrializing AI for a high-growth retail platform.

Location: Palo Alto, California, United States

Salary: $218,000–$285,000 (base) + bonus and stock

Company

hirify.global is a tech-driven retail company disrupting the industry by leveraging AI, analytics, and automation to provide high-quality essentials through a direct-to-consumer model.

What you will do

• Own the end-to-end technical design of the ML platform, including model training, serving, feature pipelines, and monitoring.
• Implement a "paved road" developer experience to enable Data Scientists and AI Researchers to move from idea to production with minimal friction.
• Establish and uphold engineering standards for CI/CD in ML, Infrastructure as Code (IaC), and model versioning.
• Lead the evaluation and selection of core platform components, including inference runtimes and feature stores.
• Optimize GPU utilization, model batching, and cloud cost controls to maximize performance per dollar.
• Architect scalable serving infrastructure capable of handling traffic surges and seasonal spikes with automated recovery.

Requirements

• 8+ years of industry experience, with at least 4+ years focused on ML Infrastructure or MLOps.
• Deep expertise in AWS, Kubernetes (EKS), Docker, and Terraform/Pulumi.
• Hands-on mastery of ML frameworks such as PyTorch, TensorFlow, Kubeflow, or SageMaker.
• Experience building Feature Stores and high-throughput data pipelines using Spark, Flink, or Kafka.
• Expert knowledge of CI/CD for ML, including blue-green and canary deployment strategies.
• Must be based in Palo Alto, California, United States

Culture & Benefits

• Opportunity to work in a mission-driven team reshaping the retail industry with a focus on sustainability.
• High-growth startup environment for builders and innovators who thrive in ambiguity.
• Competitive compensation package including base salary, bonuses, and stock options.
• Culture of rigorous operational excellence and technical mentorship.