Machine Learning Engineer, Stitchfix

• 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

• 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
• 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

• Leadership, managing people program, career journey & other training opportunities
• Company equity for eligible roles
• Medical, dental and vision benefits
• 401(k) plan
• Unlimited vacation for qualified roles
• Competitive parental leave
• Enjoy 40% off of Fixes plus access to quarterly sample sales
• Collaborative workspaces - Open floor plan with standing desks & living room seating throughout

Total funding: $47.6m

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