3 months ago
Palo Alto, CA, USAStaff+
Base Salary
$218k - $285k/yr
Responsibilities
- Own the end-to-end technical design of Quince’s modular and scalable ML platform, including training, serving, feature pipelines, and monitoring.
- Build the developer experience that helps data scientists and AI researchers move from idea to production with minimal friction and high reliability.
- Establish and implement standards for ML CI/CD, infrastructure as code, model versioning, experiment tracking, and blue-green or canary deployments.
- Evaluate and select core platform components, including inference runtimes, feature stores, and orchestration frameworks, while assessing build-versus-buy tradeoffs.
- Optimize GPU utilization, model batching, and cloud costs across training and inference workloads.
- Architect ML serving infrastructure that supports traffic surges, seasonal spikes, model transitions, monitoring, alerting, and automated recovery.
- Mentor junior and mid-level engineers through design reviews, code reviews, and pairing sessions.
- Lead root-cause analyses and drive permanent fixes while promoting disciplined on-call operations and accountability.
Requirements
- 8+ years of industry experience, including at least 4+ years of focused hands-on experience in ML infrastructure, MLOps, or large-scale data platform engineering.
- Proven experience designing and building MLOps platforms supporting the full model lifecycle from data ingestion and distributed training through real-time inference and model governance.
- Deep expertise in cloud-native infrastructure, preferably AWS, plus Kubernetes, EKS, Docker, and Terraform or Pulumi.
- Hands-on mastery of ML frameworks such as PyTorch, TensorFlow, Kubeflow, or SageMaker.
- Expertise building feature stores and high-throughput data pipelines using technologies such as Spark, Flink, and Kafka, with an understanding of training-serving skew and data consistency.
- Expertise in ML CI/CD, model versioning, experiment tracking, and blue-green or canary deployment strategies.
- Experience optimizing GPU utilization, implementing model batching, and reducing cloud infrastructure costs.
- Strong operational experience with on-call practices, proactive monitoring, reliability improvement, and root-cause analysis.
- Ability to work through ambiguity, learn quickly, experiment, and thrive in a rapidly scaling startup environment.
Benefits
- Base salary range of $218,000-$285,000 plus potential bonus and stock.
- Mission-driven work focused on sustainable, accessible retail.
- Employment is contingent on a background check.
- Interviews may be conducted by phone, in person, Google Meet, or Zoom. Quince provides reasonable accommodations and equal employment opportunities.
Tech Stack
Categories
About Quince
Quince is a direct-to-consumer ecommerce retailer that sells apparel, accessories, and home goods by connecting shoppers directly with manufacturing partners. Its manufacturer-to-consumer model uses demand-driven production and price transparency (including cost breakdowns) to reduce middlemen and inventory waste. Founded in 2018 and headquartered in San Francisco, the privately held company offers curated essentials across categories such as cashmere, linen, jewelry, and furniture through its online storefront.