Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco.
The mission of the ML Platform team at Stitch Fix is to build exceptional systems for deploying and serving machine learning models in production. As a member of this team, you will help develop APIs, systems, and platforms that unlock critical algorithmic capabilities. You will also create self-service tools and platforms to empower our data scientists with scalable research and development capabilities.
We are passionate about crafting elegant, scalable abstractions that stand the test of time. Our work is centered on reducing friction for colleagues running production algorithms, ultimately enhancing the velocity at which the business can innovate and grow.
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 across our organization. You will design, develop, and support scalable, resilient services and frameworks for ML model training and deployment.
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 at Stitch Fix. Your ideas and expertise will drive improvements, codify best practices, and influence how we approach machine learning infrastructure and operations.
Compensation and Benefits
This role will receive a competitive salary and benefits. The salary for US-based employees 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 an annual cash award depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.
This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data.
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Yearly based
Remote, USA