Machine Learning Engineer - Foundational Models

Summary

Join Stitch Fix's Foundational Models team as a Machine Learning Engineer to build the next generation of ML systems for real-time recommendations. You will focus on building, productionizing, and scaling machine learning models, collaborating with data scientists and engineers. This role involves working cross-functionally with various teams to enhance recommendation system capabilities. You will bring your engineering excellence to improve real-time recommendations at scale and make a substantial impact on personalization. The ideal candidate possesses experience in building, deploying, and maintaining high-performing ML systems and is familiar with ML fundamentals, Python, and modern ML frameworks.

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
• 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

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

Benefits

• We offer comprehensive compensation packages and inclusive health and wellness 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