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Quince

Staff Engineer - ML Infra / MLOps

Quince · Palo Alto, California, United States

Posted about 3 months ago · $218,000-$285.000

or apply directly on Quince's site. We never take the application ourselves.

Is this posting real?

This role has been open
102 days
Quince's roles stay open a median of 103 days
Reposted
No
Salary listed
Yes
21% of Quince's roles list one
Ghost-job risk at Quince
high
134 stale, 12 reposted of 134 open
Hiring momentum
44 roles opened in the last 90 days
↓ down vs. the prior 90 days
Last confirmed on the employer's board
2026-11-14

Measured from postings appearing on and disappearing from Quince's own greenhouse board since 2026-08-03. Full hiring picture for Quince.

About this role

As a Staff Engineer for Machine Learning Infrastructure at Quince, you will be responsible for architecting and building the ML platform that supports model training, serving, and monitoring. Your role involves optimizing GPU utilization, ensuring production scalability, and mentoring junior engineers while driving technical excellence across the stack. You will also lead system design decisions and champion operational excellence to enhance the reliability and performance of ML systems.

Our read on this posting3.4out of 5
benefits
1/5
freshness
1/5
career value
5/5
role clarity
5/5
pay transparency
5/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Quince as an employer.

What you need

  • 8+ years of industry experience
  • 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
  • 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
  • Expertise in building Feature Stores and high-throughput data pipelines (Spark, Flink, Kafka)

What you get

  • Pay Range: $218,000-$285,000 (base) + bonus and stock
  • Bonus and equity may also be provided for eligible roles

Worth weighing

  • No specific mention of remote work options
  • Fast-paced environment may not suit everyone
  • Startup culture may involve handling ambiguity and rapid changes

Summarised from Quince's posting. Read the full original.

Listed by Quince on their greenhouse job board, last confirmed open on 2026-11-14. PitchMeAI is not the employer.

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