Are you ready to transform how millions discover their personal style? Stitch Fix is hiring a Machine Learning Engineer to help power our next-generation recommendation systems. As the leading online personal styling service, Stitch Fix blends data science and human creativity to deliver personalized fashion at scale. In this Machine Learning Engineer job, you’ll build and optimize ML systems that personalize client experiences while enhancing performance, reliability, and scalability across our platform.
Why This Machine Learning Engineer Job is Unique
At Stitch Fix, data drives everything we do. As part of the Foundational Models team, you’ll create intelligent systems that recommend styles, guide merchandising decisions, and power customer personalization. This Machine Learning Engineer job is ideal for someone passionate about AI, big data, and fashion tech innovation.
You will:
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Design and scale ML pipelines for real-time recommendations.
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Collaborate with data scientists, engineers, and product teams to enhance algorithms.
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Implement robust systems that improve latency, uptime, and overall model performance.
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Drive innovation through AI experimentation and data-driven insights.
What We’re Looking For in a Machine Learning Engineer
To excel in this Machine Learning Engineer job, you should bring:
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2+ years of experience in deploying and maintaining scalable ML systems.
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Strong programming skills in Python and frameworks like PyTorch or TensorFlow.
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Solid understanding of supervised learning, recommender systems, or deep learning.
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Excellent communication and collaboration skills across technical teams.
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Curiosity, adaptability, and a team-oriented mindset.
Why You’ll Love Working at Stitch Fix
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Inclusive, innovative, and people-first culture.
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A balance of creativity and technology at the intersection of fashion and AI.
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Competitive salary ($153,700–$226,000 USD), stock options, and comprehensive benefits.
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Growth opportunities in a diverse, data-driven organization.
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100% commitment to equity, sustainability, and personal development.
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