Machine Learning Engineer, Stitchfix

Foundational Models

$153.7-226k

This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance

Python

Tensorflow

PyTorch

Junior, Mid and Senior level

Remote from US

Online personal styling

Open for applications

Online personal styling

1001+ employees

B2CRetailLifestyleFashioneCommerce

Open for applications

$153.7-226k

This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance

Python

Tensorflow

PyTorch

Junior, Mid and Senior level

Remote from US

1001+ employees

B2CRetailLifestyleFashioneCommerce

Company mission

To change the way people find clothes they love by combining technology with the personal touch of seasoned style experts.

Job

Company

Role

Who you are

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

What the job involves

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

Our take

Shopping online for clothes is not always a fun experience. Finding clothes you like is only half the battle. Sizing guides and return policies seem to have been designed to be challenging to understand, and can also vary wildly from company to company.

Stitchfix sets out to change this by making online clothes shopping personalized and hassle-free. Customers take a survey on their personal tastes, and pay a one-off fee for a stylist, to receive a box of 5 personalized items. Then, they simply pay for any items they keep, or return what they don't want free of charge. The stylists fee is deducted from the first purchase and if they keep all 5 items, they receive a discount.

Stitchfix's unique blend of technology, and human touch in styling, allows the company to deliver its personalized experience at scale, with its growing data sets putting them in a great place to predict consumer trends and preferences. Unfortunately, the company has been hit hard by the current economic climate - cutting staff back in June 2022 as well as again in early 2023. Only time will tell if this once exciting brand will be able to bounce back from this bump in the road and find success again in the future.

Steph

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

Top investors

-7% employee growth in 12 months

Glassdoor (3.2)

Trustpilot (4.3)

Company

Funding (last 2 of 4 rounds)

Jun 2014

$30m

SERIES C

Oct 2013

$12m

SERIES B

Total funding: $47.6m

Company benefits

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

Company HQ

Financial District, San Francisco, CA

Leadership

Katrina Lake

(CEO)

BA in Economics from Stanford. MBA from Harvard Business School. Previously 2 years as an Associate at The Parthenon Group and 2 years as an Associate at Leader Ventures.

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