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Applied AI/ML Scientist, Intern

FaireSan Francisco, CAAlgorithms & Data
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Salary
Not listed
Job type
Internship
Experience
Internship
Posted
6 Oct 2026
Status
Open · checked 8d ago

About this role

San Francisco, CA is the location for the Applied AI/ML Scientist, Intern role at Faire, offered as a paid Winter 2027 internship starting in January 2027. This position suits a current or recent Master's or PhD student in a technical field who wants to build and maintain marketplace models.

Role Overview

The Applied AI/ML Science team at Faire builds models that power the marketplace, including shipping and delivery estimates for retailers. This intern will own a focused project within the Shipping and Fulfillment team, working on tasks such as predicting order packing methods, recommending efficient packing using multimodal deep learning, or inferring physical characteristics from catalog signals.

Key Responsibilities

Survey research literature and existing approaches to identify promising ideas
Prototype and train models offline while benchmarking against current methods
Build strong approaches into working implementations
Collaborate with Applied Scientists and ML Engineers to test solutions against live traffic
Present findings and recommendations to the team

Requirements

Current enrollment in or recent graduation from a Master's or PhD program in Computer Science, Machine Learning, Statistics, Electrical Engineering, or a related technical field
Hands-on experience building deep learning models such as PyTorch, using images and text, fine-tuning pre-trained models, or working with embeddings
Familiarity with gradient-boosted trees and tabular machine learning methods
Strong proficiency in Python and SQL
Ability to read research papers and translate ideas into working code
Solid grounding in statistics, model evaluation, benchmarking, and uncertainty estimation
Comfort handling noisy or incomplete real-world data

Skills and Tools

Python
SQL
PyTorch
Deep Learning
Multimodal Models
Gradient-Boosted Trees
Statistics

Salary and Benefits

The pay rate for this role in San Francisco is $75 USD per hour. Hybrid employees work in the office three days per week and have the flexibility to work remotely up to four weeks per year.

About the Company

Faire operates a technology wholesale platform connecting independent retailers and brands globally using data, technology, and machine learning. Founded in 2017 by former product and engineering leads from Square, the company is backed by investors including Y Combinator, Sequoia Capital, and Founders Fund, with headquarters in San Francisco and Kitchener-Waterloo alongside a global office presence.

How to Apply

Candidates should apply directly on the official Faire careers page.

Skills and tech stack

Questions candidates ask

What is the duration and start date of the internship?

The paid internship runs for 12 to 14 weeks beginning in January 2027, with flexible start dates available for qualified candidates.

What is the hourly pay rate for this role?

The pay rate for the San Francisco location is $75 USD per hour.

What are the educational qualifications required?

Applicants must be currently enrolled in or recently graduated from a Master's or PhD program in Computer Science, Machine Learning, Statistics, Electrical Engineering, or a related technical field.

What is the in-office attendance policy for hybrid workers?

Hybrid employees go into the office three days per week on Tuesdays, Thursdays, and a third flex day of their choosing.

What specific projects might an intern work on?

Interns own a focused project predicting order packing, recommending efficient packing to reduce shipping costs, or inferring physical characteristics from catalog product listings.

Ready to apply?

The application is on the official Faire careers page.

Apply on company site