Stitch Fix is looking to build the next generation of ML systems to transform how people find what they love, focusing on improving model performance, latency, uptime, and cost efficiency for their core recommender system.
Requirements
- 5+ years of experience in building high-throughput, resilient backend systems, with demonstrated expertise in deploying and maintaining machine learning models in production.
- 5+ years of advanced python development experience, including familiarity with data manipulation using spark and SQL.
- solid foundation in machine learning, plus a bonus of evaluating recommender systems.
- familiar with modern ML frameworks (e.g. PyTorch, TensorFlow) and model deployment frameworks leveraging container orchestration.
- hands-on experience with observability tools (e.g., Datadog, Prometheus) and a deep understanding of how to measure and optimize system latency.
Responsibilities
- building, productionizing and scaling of machine learning models
- promoting engineering excellence
- building the next generation ML systems that transform the way people find what they love
- improve how we serve real time recommendations in production at scale
- 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
Other
- 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.
- 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 team's engineering standards.
- We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust.
- We cultivate a community of diverse perspectives— all voices are heard and valued.
- We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
