ML Platform Engineer

Stitch Fix

12h•$136,000 - $167,000

About The Position

As an ML Platform Engineer at Stitch Fix, you will play a key role in building and maintaining the critical infrastructure that powers machine learning and AI across our organization. You will design, develop, and support scalable, resilient services and frameworks for ML model training and deployment, feature engineering and serving, candidate generation, AI agent deployment and observability, and other core platform capabilities. In this role, you'll contribute to the day-to-day operations of the ML Platform team, ensuring the smooth functioning of existing systems while driving improvements. You’ll collaborate closely with full-stack data scientists, offering consultation and support to help them unlock the full potential of our platform. With significant autonomy, you’ll have the opportunity to shape the future of ML and AI at Stitch Fix. Your ideas and expertise will drive improvements, codify best practices, and influence how we approach machine learning and AI systems at scale.

Requirements

5+ years of experience in software development, with a focus on data, ML, or AI infrastructure.
Proven track record of building scalable, distributed production systems.
Exceptional coding and design skills.
Proficient in leveraging big data, web, and AI technologies such as Kafka, Postgres, Redis, FastAPI, Ray, AnyScale, LangGraph, LangSmith or similar tools.
Hands-on experience with AWS or other cloud-based providers.
Ability to think globally, developing solutions that address multiple needs while prioritizing business impact.
Strong cross-functional communication skills enable you to simplify complex challenges and collaborate effectively with business partners to drive solutions forward.

Nice To Haves

Python and Golang are our primary tools, your overall engineering expertise and problem-solving abilities matter most.

Responsibilities

Collaborate with cross-functional teams, including data scientists, engineers, and business partners, to solve complex distributed systems and business challenges at scale.
Be part of a team with high visibility across the organization, driving impactful solutions that make a difference.
Share your ideas and help guide the team’s investments toward high-value opportunities.
Foster a culture of technical collaboration and contribute to the development of scalable, resilient systems.