S
Palo Alto, California, United States
$180K – $440K/yr
KubernetesMachine LearningAIRecruitment
Q
Active3mo ago
Staff Engineer, Machine Learning Infrastructure
Pay vs market · Near median
This job's pay ($251,500 a year at the midpoint) is higher than about 50% of 15 salary-listed Staff Engineer jobs in United States in the last 12 months; their median is $251,000.
Role overview
Job description
ABOUT QUINCE Quince is a destination for builders, creators, innovators, and operators who want to come together and challenge the status quo. Our mission is simple: make really high quality essentials for really low prices, fairly and sustainably. We deliver on that mission through a unique manufacturer-to-consumer (M2C) model eliminating the layers of traditional retail that add cost and result in consumers paying more than they need to. We find, build relationships with, and work directly with the manufacturing partners behind some of the world’s finest products. From there, our teams design smart, efficient operational processes and build and deploy proprietary technology, AI, and analytics to help us scale fast. What began with a small assortment of elevated basics has quickly grown into a cross-category brand spanning apparel, accessories, home goods, and more. Today, tens of mill
…About this listing
- Source: Quince's official careers site (via Greenhouse) · last confirmed on the source 1 Nov 2026
- Posted 23 Jul 2026
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What they are looking for
Skills & requirements
awsdockerkubernetesmachine learningaiterraformrecruitment
Qualification
8+ years of industry experience, with at least 4+ years of focused, hands-on work in ML Infrastructure, MLOps, or large-scale Data Platform engineering. Proven track record of designing and building MLOps platforms that support the full model lifecycle — from data ingestion and distributed training to real-time inference and model governance. Deep expertise in cloud-native infrastructure (preferably AWS), Kubernetes (EKS), Docker, and Infrastructure as Code tools (Terraform/Pulumi). Hands-on mastery of ML frameworks such as PyTorch, TensorFlow, Kubeflow, or SageMaker, with strong opinions on building a cohesive, high-leverage developer experience. Expertise in building Feature Stores and high-throughput data pipelines (Spark, Flink, Kafka), with a strong understanding of training/serving skew and data consistency. Expert-level knowledge of CI/CD for ML, including model versioning, experiment tracking, and deployment strategies such as blue-green and canary rollouts. Demonstrated ability to optimize GPU utilization, implement model batching, and systematically reduce cloud infrastructure costs. Strong operational instincts, with a history of improving reliability through rigorous on
Department · Storefront Engineering
Hiring company
Quince
Quince brings luxury products like Mongolian Cashmere, Italian Leather, Turkish Cotton and Washable Silk to everyone at radically low prices. Shop premium essentials with no middleman.
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