Machine Learning Engineer

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 and engineers, as well as lead work cross-functionally with Strategy, Product, Merchandising, Marketing, and Engineering partners to build and enhance those capabilities. 

Multiple teams are looking for machine learning engineers. Here are some examples of teams you might have the opportunity to join:

• Core Representation Learning: this team builds general purpose recommendation systems to understand our clients’ preferences across style, size, and fit. The team’s recommendations are used for personalization across a variety of downstream algorithms and applications, e.g. style shuffle, shop recommendations, outfit generation, and home feed personalization.
• Freestyle recommendation team: builds recommendation systems and ranking for the Freestyle product, including product description page and carousels. 
• Outfits team: outfits are one of the core capabilities of our personalized shopping experience. Outfits make it easy for customers to see which items go together, so they don’t have to spend time sifting through hundreds of options. Because outfits make shopping simpler and easier, they are a prioritized part of our business.
• Styling recommendations: we build models that score the best items for clients to be used to enable other teams to transform the way clients find the clothes they love.

You're excited about this opportunity because you will...

• Bring your engineering excellence to improve how we serve real time recommendations in production at scale. 
• Make a substantial impact on personalization across multiple dimensions by creating the infrastructure that allows us to build the next generation of recommendation systems
• Collaborate with data scientists on a variety of sophisticated machine learning algorithms
• Work closely with partners in ML Platform Eng, Engineering, Product and Merchandising teams
• Be empowered to take initiative and follow your innate curiosity

We're excited about you because…

• You are familiar with Python and modern ML frameworks such as PyTorch or TensorFlow
• You are familiar with the fundamentals of ML in at least one of these areas: supervised learning, recommendation systems, or deep learning.
• You have experience building, deploying and maintaining high performing, resilient, and scalable real time machine learning systems
• You are a clear communicator who can get buy-in from partners and you are excited to be part of a team
• You are curious, inspired to take on new challenges and calculated risks 
• You care about the system level implications of our work (e.g. ethical concerns for clients, stylists, warehouse workers etc.)

Why you'll love working at Stitch Fix...

• We are a group of people who are bright, kind and motivated by challenges. You can be your authentic self here, and are empowered to encourage others to do the same! 
• We are a successful, fast-growing company at the forefront of tech and fashion, redefining retail for the next generation
• We are a technology and data-first business
• We believe in autonomy & taking initiative
• We take what we do seriously, but we don’t take ourselves too seriously
• We offer competitive compensation packages and comprehensive health benefits
• We are proud to say that we work for Stitch Fix and know that the work we do brings joy to our clients every day

About Stitch Fix

At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. All of this results in a simple, powerful offering to our customers and a successful, growing business serving millions of men, women, and kids. We believe we are only scratching the surface on our opportunity, and we’re looking for incredible people like you to help us carry on that trend.