Machine Learning Engineer - Foundational Models

Remote, USA

Stitch Fix

Stitch Fix is personal styling for men, women & kids that sends clothing to your door (with free shipping & returns). Get started & find clothes you'll love!

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About Stitch Fix, Inc.

Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco.

About the Team

At Stitch Fix, our data science teams combine machine learning algorithms with expert human judgment to deliver personalized recommendations, transforming how clients discover their preferred styles. The Foundational Models team focuses on developing the core recommender system, which not only personalizes the client experience but also informs merchandising strategies. The team’s goal is to enhance business outcomes by improving model performance while ensuring optimal latency, uptime, and cost efficiency. Additionally, the team collaborates closely with partner teams to refine feedback mechanisms and playback initiatives.

About the Role

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, production-izing and scaling of machine learning models, and promoting engineering excellence. You will have 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. 

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 have experience building, deploying and maintaining high performing, resilient, and scalable real time machine learning systems
  • You are familiar with the fundamentals of ML in at least one of these areas: supervised learning, recommendation systems, or deep learning.
  • You are familiar with Python and modern ML frameworks such as PyTorch or TensorFlow.
  • 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’re happiest as a team player, able to balance time against multiple systems and work streams with defined objectives

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

  • We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
  • We cultivate a community of diverse perspectives— all voices are heard and valued.
  • We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. 
  • We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
  • We boldly create the future while keeping equity and sustainability at the center of all that we do. 
  • We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
  • We offer comprehensive compensation packages and inclusive health and wellness benefits.

Compensation and Benefits

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 below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance.This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.

Salary Range$153,700—$226,000 USD

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Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: https://stitchfix.com/careers/workforce-applicant-privacy-policy

Recruiting Fraud Alert: 

To all candidates: your personal information and online safety are top of mind for us.  At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.

Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com

You can read more about Recruiting Scam Awareness on our FAQ page here: https://support.stitchfix.com/hc/en-us/articles/1500007169402-Recruiting-Scam-Awareness 

 

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Tags: Deep Learning Engineering Machine Learning ML models Privacy Python PyTorch Security TensorFlow

Perks/benefits: Career development Competitive pay Equity / stock options Health care Startup environment Wellness

Regions: Remote/Anywhere North America
Country: United States

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