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Stitch Fix

Senior Machine Learning Engineer - Foundational Models

Sorry, this job was removed at 06:12 p.m. (CST) on Wednesday, Nov 26, 2025
Remote
Hiring Remotely in USA
154K-226K Annually
Remote
Hiring Remotely in USA
154K-226K Annually

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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, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems.

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.

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, 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.

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 2+ years of professional work 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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Stitch Fix Austin, Texas, USA Office

816 Congress, Suite 400, Austin, TX, United States

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

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  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

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