Applied AI/ML Scientist, Intern - Winter 2027

Paid Winter 2027 internship in the Applied AI/ML Science team at Faire, a technology wholesale platform for independent retailers. The intern will own a focused project on shipping and fulfillment models, such as packing prediction, packing recommendation, or product understanding from catalog data. The internship runs 12 to 14 weeks beginning January 2027, with flexible start dates available for qualified candidates. Pay rate for San Francisco is $75 USD per hour. Faire uses AI to screen and select applicants for this position.

Responsibilities

Predict how an order will be packed by building models that learn from item characteristics and how items combine in a cart; Recommend better packing methods using models that understand items from images and text and learn from historical packing outcomes; Understand products from a catalog by training multimodal deep learning models that infer weight, size and shape from images, text and other catalog signals; Survey the literature and existing approaches to identify promising ideas; Prototype and train models offline, benchmarking against current methods; Build out the strongest approach into a working implementation; Work with Applied Scientists and ML Engineers to test against live traffic; Present findings and recommendations to the team

Requirements

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; Hands-on experience building deep learning models (e.g., PyTorch), ideally with images, text, or both, including fine-tuning pre-trained models or working with embeddings; Familiarity with gradient-boosted trees and other tabular ML methods; Strong Python and SQL; Ability to read research papers and turn promising ideas into working code; Solid grounding in statistics and model evaluation, including benchmarking against strong baselines and estimating uncertainty; Comfort working with noisy or incomplete real-world data; A genuine enthusiasm for tackling ambiguous problems and learning new tools and techniques

Benefits

Flexible paid time off, plus company-wide recharge days; Paid parental leave up to 16 weeks; Comprehensive health coverage, with options varying by location; Fertility and family-building benefits through Carrot, including a lifetime reimbursement allowance; Mental health support and coaching through Modern Health; Stipends to support professional development, wellness, and work from home needs; Employer-sponsored retirement plan, dependent on country of employment