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Stitch Fix is hiring an ML Platform Engineer to build and maintain infrastructure for machine learning and AI. Founded on human creativity and advanced data science, you’ll help redefine retail and drive impactful solutions across the organization.
This role requires 5+ years of experience, focusing on distributed systems, Python, and AWS. You’ll enjoy a competitive salary between $136,000 and $167,000, alongside other benefits such as medical, dental, and vision coverage.
Stitch Fix, Inc. (NASDAQ: SFIX) is redefining retail by combining human creativity with advanced data science and Generative AI. We are building the future of personalized shopping and investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.
As an ML Platform Engineer at Stitch Fix, you will play a key role in building and maintaining the critical infrastructure that powers machine learning and AI across our organization. You will design, develop, and support scalable, resilient services and frameworks for ML model training and deployment, feature engineering and serving, candidate generation, AI agent deployment and observability, and other core platform capabilities.
In this role, you will contribute to the day-to-day operations of the ML Platform team, ensuring the smooth functioning of existing systems while driving improvements. You’ll collaborate closely with full-stack data scientists, offering consultation and support to help them unlock the full potential of our platform. With significant autonomy, you will have the opportunity to shape the future of ML and AI at Stitch Fix. Your ideas and expertise will drive improvements, codify best practices, and influence how we approach machine learning and AI systems at scale.
This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range: $136,000—$167,000 USD. A variety of factors are considered when determining compensation, including professional background, experience, location, and performance. The position is eligible for medical, dental, and vision benefits.