Machine Learning Engineer - Foundational Models

August 10

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Stitch Fix

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Fashion • Retail • eCommerce

Stitch Fix is a personal styling service that offers a unique and personalized approach to fashion for women, men, and kids. Clients start by taking a style quiz, which helps Stitch Fix understand their preferences, sizes, and budget. Based on this information, a personal stylist selects five personalized clothing pieces that are shipped directly to the client's door. Customers can choose to keep and purchase any items they like, with the $20 styling fee applicable to kept items. Stitch Fix carries a wide range of sizes and offers free shipping and returns. The service is flexible, with no subscription required, allowing customers to order style boxes on demand or at regular intervals. Stitch Fix also offers a 'Freestyle' shopping option where clients can browse curated suggestions based on their preferences. The company covers a wide variety of styles from numerous brands, ensuring there are options to suit various fashion tastes and needs.

5001 - 10000 employees

Founded 2011

👗 Fashion

🛒 Retail

🛍️ eCommerce

💰 $36.9M Venture Round on 2017-11

📋 Description

• In this role, you will be building the next generation ML systems that transform the way people find what they love. • As a Machine Learning Engineer, your focus will be on building, productionizing and scaling of machine learning models, and promoting engineering excellence. • You will get the opportunity to work with data scientists, as well as lead work cross-functionally with Strategy, Product, Merchandising, Marketing, and Engineering partners to build and enhance those capabilities.

🎯 Requirements

• You have 5+ years of experience in building high-throughput, resilient backend systems, with demonstrated expertise in deploying and maintaining machine learning models in production. • You have 5+ years of advanced python development experience, including familiarity with data manipulation using spark and SQL. • You have a solid foundation in machine learning, plus a bonus of evaluating recommender systems. • You are familiar with modern ML frameworks (e.g. PyTorch, TensorFlow) and model deployment frameworks leveraging container orchestration. • You have hands-on experience with observability tools (e.g., Datadog, Prometheus) and a deep understanding of how to measure and optimize system latency. • You excel at translating complex technical concepts into clear, actionable insights for cross-functional partners, including Product, Design, and Engineering, to build consensus and drive projects forward. • You are driven by a deep curiosity to explore new technologies and take calculated risks, with a focus on identifying and implementing best practices that elevate the team's engineering standards.

🏖️ Benefits

• This role will receive a competitive salary, benefits, and equity. • The salary range is $178,200 — $262,000 USD. • Medical, dental, vision, and other benefits. • Eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance. • We offer comprehensive compensation packages and inclusive health and wellness benefits. • Applicants should apply via our internal or external careers site.