Machine Learning Engineer

Summary

Join Stitch Fix's Foundational Models team as a Machine Learning Engineer and build the next generation of ML systems that power real-time recommendations at scale. You will focus on building, productionizing, and scaling machine learning models, collaborating with data scientists and engineers, and working cross-functionally with various teams. This role requires experience in building and maintaining high-performing, real-time machine learning systems, familiarity with ML fundamentals (supervised learning, recommendation systems, or deep learning), and proficiency in Python and ML frameworks like PyTorch or TensorFlow. Strong communication skills and a collaborative team-oriented approach are essential. Stitch Fix offers a competitive salary, benefits, and equity, including medical, dental, and vision coverage.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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

Benefits

• Competitive salary
• Benefits
• Equity
• New hire and ongoing grants of restricted stock units
• Medical
• Dental
• Vision
• Other benefits