About the role#
The Applied AI/ML Science team builds the models that power our wholesale marketplace. We focus on shipping and fulfillment, including predicting delivery estimates and understanding products through images and text. You will work on projects that help independent retailers compete with large stores by giving them better data and insights.
What you'll do#
You will own a focused project in one of our core areas. You might predict how an order is packed, recommend ways to improve packing efficiency, or infer physical product characteristics from catalog data. Your workflow includes:
- Surveying literature to identify promising ideas.
- Prototyping and training models offline while benchmarking against current methods.
- Building the strongest approach into a working implementation.
- Collaborating with Applied Scientists and ML Engineers to test models against live traffic.
- Presenting your findings and recommendations to the team.
What you'll need#
- Currently enrolled in or recently graduated from a Master's or PhD program in Computer Science, Statistics, Computer Engineering, or Electrical Engineering.
- Hands-on experience building deep learning models (e.g., PyTorch), specifically with images, text, or both.
- Experience fine-tuning pre-trained models or working with embeddings.
- Familiarity with gradient-boosted trees and other tabular ML methods.
- Strong Python and SQL skills.
- Ability to read research papers and turn concepts into working code.
- Solid grounding in statistics, model evaluation, and uncertainty estimation.
- Comfort working with noisy or incomplete real-world data.
- Enthusiasm for tackling ambiguous problems and learning new tools.
Location & details#
- This is a paid, full-time internship for Winter 2027.
- The role is based in San Francisco, CA.
- We operate on a hybrid schedule, requiring three days per week in the office.
About Faire
Faire operates a wholesale technology platform. It connects brands with retailers to support local commerce. The company was founded in 2017 and maintains its headquarters in San Francisco, California. It currently employs between 1,001 and 5,000 people.
How to get in at Faire
Applying early to Faire gives you a distinct advantage before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published, ensuring you are among the first to submit your materials. Getting your application in early often means it is reviewed before the pile grows. You can also improve your response rates by reaching out to the people managing the hiring process. Intern Insider surfaces the recruiters behind Faire roles so you can contact them directly to ask about the position or a referral. This direct approach is often more effective than submitting your resume into a general queue.
