<div><h3><strong>About Stitch Fix, Inc. </strong></h3> <p>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 clients 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.</p></div><h3><strong>About the Team</strong></h3> <p>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.</p> <p>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.</p> <h3><strong>About the Role</strong></h3> <p>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.</p> <p>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.</p> <h3><strong>Youre excited about this opportunity because you will…</strong></h3> <ul> <li>Bring your engineering excellence to improve how we serve real time recommendations in production at scale. </li> <li>Make a substantial impact on personalization across multiple dimensions by creating the infrastructure that allows us to build the next generation of recommendation systems.</li> <li>Collaborate with data scientists on a variety of sophisticated machine learning algorithms.</li> <li>Work closely with partners in ML Platform Eng, Engineering, Product and Merchandising teams.</li> <li>Be empowered to take initiative and follow your innate curiosity.</li> </ul> <h3><strong>We’re excited about you because…</strong></h3> <ul> <li>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.</li> <li>You have 5+ years of advanced python development experience, including familiarity with data manipulation using spark and SQL.</li> <li>You have a solid foundation in machine learning, plus a bonus of evaluating recommender systems.</li> <li>You are familiar with modern ML frameworks (e.g. PyTorch, TensorFlow) and model deployment frameworks leveraging container orchestration.</li> <li>You have hands-on experience with observability tools (e.g., Datadog, Prometheus) and a deep understanding of how to measure and optimize system latency.</li> <li>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.</li> <li>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 teams engineering standards.</li> </ul> <h3><strong>Why youll love working at Stitch Fix...</strong></h3> <ul> <li>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.</li> <li>We cultivate a community of diverse perspectives— all voices are heard and valued.</li> <li>We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. </li> <li>We win as a team, commit to our work, and celebrate grit together because we value strong relationships.</li> <li>We boldly create the future while keeping equity and sustainability at the center of all that we do. </li> <li>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.</li> <li>We offer comprehensive compensation packages and inclusive health and wellness benefits.</li> </ul><div><div><div><p><span><span><strong>Compensation and Benefits</strong></span><br /><br />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.</span></p></div><div>Salary Range</div><div><span>$178,200</span><span>—</span><span>$262,000 USD</span></div></div></div><div><p><em><a href="https://www.anthem.com/ca/machine-readable-file/search/" target="_blank">This link</a> leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.</em></p> <p><span>Please review Stitch Fixs US Applicant Privacy Policy and Notice at Collection here: <a href="https://www.stitchfix.com/careers/workforce-applicant-privacy-policy" target="_blank">https://stitchfix.com/careers/workforce-applicant-privacy-policy</a></span></p> <p><strong>Recruiting Fraud Alert:</strong> </p> <p>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 <a href="https://www.stitchfix.com/careers/jobs">https://www.stitchfix.com/careers/jobs</a> or <a href="https://web.fountain.com/c/stitch-fix">https://web.fountain.com/c/stitch-fix</a>.</p> <p>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 <a href="mailto:careers@stitchfix">careers@stitchfix.com</a>. </p> <p>You can read more about Recruiting Scam Awareness on our FAQ page here: <a href="https://support.stitchfix.com/hc/en-us/articles/1500007169402-Recruiting-Scam-Awareness">https://support.stitchfix.com/hc/en-us/articles/1500007169402-Recruiting-Scam-Awareness</a> </p> <p> </p></div>